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README.md

Awesome Agent-Native Services Awesome

A curated list of agent-native services and infrastructure for AI agents: email, browsers, memory, sandboxes, payments, MCP tools, and more.

Browse services by capability, compare their agent-native design against the selection criteria, and follow each service’s onboarding guide to connect your agent.

Each service is either infrastructure an AI agent consumes directly or a narrowly qualified, purpose-built surface for operating concrete agent sessions — not a generic platform for humans to build agents with.

Also on the web: Awesome Agent-Native Services — The Agent-Native Index — the same catalog with structured metadata and machine-readable discovery endpoints.

Related: ReleaseLog — the verified AI release calendar from the same curator. Published separately from this catalog.



Table of contents


⭐ Agent onboarding

If you are an AI agent and want to discover services designed for you:

Read https://raw.githubusercontent.com/haoruilee/awesome-agent-native-services/main/skill.md then find services designed for you natively.

Besides, you can install these skills through Claude Code's plugin marketplace flow or load them directly from this repository:

Claude Code plugin marketplace (requires a Claude Code version with plugin support; see the official plugin marketplace docs):

/plugin marketplace add haoruilee/awesome-agent-native-services
/plugin install awesome-agent-native-services@awesome-agent-native-services
/reload-plugins

Direct SKILL.md install:

git clone --depth=1 https://github.com/haoruilee/awesome-agent-native-services.git
mkdir -p ~/.claude/skills
cp -R awesome-agent-native-services/.skills/find-agent-service ~/.claude/skills/

Source files are in .skills/ in this repo. See SKILLS_HUB.md for Claude Code and manual SKILL.md installation paths.

Install-entry workflow: install this repo once, then ask install-agent-service for a concrete entry point. It ranks URL onboarding first, then Agent Skills/plugins, MCP, CLI, and SDK setup so the catalog can act as an installer/router instead of only a directory.

Skills Hub usage

Use this repository's Skills Hub when you want an agent to operate the catalog directly rather than only read the Markdown index:

  1. Find a service for a concrete job — install or load find-agent-service, then ask: Use find-agent-service to find an agent-native service for <task>. The skill reads the catalog criteria and returns matching services with onboarding steps.
  2. Install or connect a service — install or load install-agent-service, then ask: Use install-agent-service to install/connect <service or task>. The skill returns URL onboarding, Agent Skill/plugin, MCP, CLI, or SDK commands.
  3. Vet a candidate service — install or load evaluate-agent-native, then provide the service URL, docs, and repo. The skill applies the standard or operator-surface admission track before you open an issue or PR.
  4. Prepare a contribution — install or load add-to-awesome-list when adding a new service. It walks through the issue-first workflow, required service-file sections, and README/category table updates.
  5. Use without a marketplace — any SKILL.md-compatible agent can copy a folder from .skills/ into its local skills directory, for example cp -R .skills/find-agent-service ~/.claude/skills/.

Recommended flow for agents: start with skill.md for quick discovery, switch to SKILLS_HUB.md or install-agent-service when you need installable workflows, and use the per-service Markdown files for source-backed details.


Categories

266 services across 16 categories.

#CategoryServicesDescription
1Communication16Give agents a communication identity on the internet
2Browser & Web Execution31Remote browser and web data extraction for agents
3Tool Access & Integration29Runtime tool discovery, auth, and execution
4Oversight & Approval7Human-in-the-loop approval and escalation
5Commerce & Payments23Agent-native wallets, identity, and transactions
6Agent Runtime & Infrastructure37Execution, session isolation, secrets, and gateway
7Agent Harnesses & Operator Surfaces15Durable agent-loop control and live operator visibility
8Memory & State33Persistent agent memory across sessions
9Search & Web Intelligence13LLM-optimized web search and content retrieval
10Code Execution17Secure sandboxes for AI-generated code
11Observability & Tracing14Agent trajectory tracing and evaluation
12Durable Execution & Scheduling6Fault-tolerant long-running agent workflows
13Meeting & Conversation7Agent presence in voice and video meetings
14Voice & Phone9Agent-controlled voice calls and phone infrastructure
15LLM Gateway & Routing11Per-agent budget, routing, caching, and observability for LLM calls
16Agent Social & Community20Social networks where agents are first-class participants

1. Communication Services

MCP-native and API-first email, inboxes, and messaging — services built so autonomous agents send, receive, and search mail with their own identity.

Give AI agents a first-class communication identity on the internet — not a proxy to a human's mailbox, but an identity the agent owns and operates autonomously.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
ATXP Email ⭐Email for AI agentsPer-agent inbox · CLI/API provisioning · Verification-code workflow⚠️Read https://atxp.email/ and follow the docs to create an agent inbox via CLI/API
AgentMailEmail for AI agentsAgent inbox · Threaded conversation · Webhook on inbound mail · Semantic search✅pip install agentmail then POST /inboxes
Novu ⭐Notification infrastructure with Agent ToolkitWorkflow-as-tool · Cross-channel delivery · HITL notification flow✅npx skills add novuhq/skills
Chimely ⭐Self-hostable in-app notification inboxHTTP notification API · SSE hint plane · <Inbox /> React component⚠️Use the HTTP API from https://chimely.dev docs to deliver in-app notifications
mails.devEmail for AI Agents@mails.dev mailbox · Send/inbox · wait-for-code · Full-text search⚠️Read https://mails.dev/skill.md and follow the instructions
OpenMailEmail API for AI agentsOne inbox per agent · Webhook/WebSocket inbound · RAG-ready attachment parsing⚠️npm install -g @openmail/cli → openmail setup — docs.openmail.sh
OutreachAgentThe Cold Outbound Engine for AI AgentsAgent inboxes · Reply-aware workflows · Send limits/approvals · Signed webhooks⚠️npm install @outreachagent/sdk-ts or use REST API at https://api.outreachagent.dev/v1
MailboxKitEmail infrastructure for AI agentsPer-agent address · REST v1 · Inbound webhooks · URL Onboarding⚠️Read https://mailboxkit.com/skill.md and follow the instructions
Agents MailEmail for AI AgentsAgent registration · Inbox lifecycle · Send/reply API · URL Onboarding⚠️Read https://agentsmail.org/skill.md and follow the instructions
MCP Agent Mail ⭐Async coordination layer for AI coding agentsAgent identity · Inbox/outbox · Thread search · Advisory file reservations✅uvx mcp_agent_mail then connect MCP client and call register_agent/send_message
MCP Agent Mail (Rust) ⭐It's like Gmail for your coding agents30+ MCP tools · 20+ resources · Git-backed archive · TUI/robot CLI✅curl -fsSL \"https://raw.githubusercontent.com/Dicklesworthstone/mcp_agent_mail_rust/main/install.sh?$(date +%s)\" | bash then am
AgenticMail ⭐Email & SMS infrastructure for AI agentsAgent inbox + phone bundle · Stalwart self-host · Google Voice bridge · 75+ REST endpoints⚠️git clone https://github.com/agenticmail/agenticmail && docker compose up -d
Caspian ⭐One agent communication identity across human channelsEmail/Slack/Discord/Telegram/SMS · normalized events · SDKs · webhooks⚠️Read https://api.trycaspianai.com/SKILL.md and follow it end to end
Atomic Mail ⭐Not AI for your email. Email for your AI.PoW inbox · JMAP · local/hosted MCP · AgentSkill✅Read https://atomicmail.ai and follow the instructions to create an inbox
AgentTeam Email ⭐Open-source email infrastructure for AI agentsPer-agent mailbox · at-email CLI · draft review · Cloudflare routing⚠️npx --yes @agentteamhq/email@latest then at-email agent connect
SendRavenEmail infrastructure for AI agentsAwaiting-reply threads · Inbound webhook · Per-key caps/allowlist/approval hold · Remote MCP✅Connect https://mcp.sendraven.ai/mcp (OAuth) or npx -y @sendraven/mcp with SENDRAVEN_API_KEY — docs

2. Browser & Web Execution Services

Give AI agents a remote, managed browser runtime — so agents can navigate, interact with, and extract data from the web as an autonomous actor.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
HronautA browser your AI agent can come back to.Local task workspaces · resumption · semantic browser tools · human takeover✅Local desktop setup
Vercel Agent Browser ⭐Browser automation CLI for AI agentsRust CLI · Chrome for Testing · scriptable browser control⚠️npm install -g agent-browser
Browser MCP ⭐Browser MCP server for AI agentsPuppeteer MCP · accessibility tree · optional vision✅npx -y @browsermcp/mcp
Browserbase ⭐A web browser for AI agents & applicationsRemote browser session · Stagehand NL actions · Session recording · Stealth mode✅npx skills add browserbase/skills
FirecrawlTurn any website into LLM-ready dataIntent-driven extraction · LLM-ready markdown · Schema-typed JSON output✅npx skills add firecrawl/cli
Bright Data Agent BrowserCloud browser for AI agents with built-in website unlockingBuilt-in CAPTCHA/fingerprint unlocking · 150M+ proxy IPs · Parallel sessions✅Add Web MCP to config: npx -y @brightdata/mcp
bb-browser ⭐Your browser is the API — 103 commands, 36 platforms, your real login stateAuthenticated session delegation · Site commands · MCP built-in✅npm install -g bb-browser + Chrome extension, then bb-browser site <platform>/<cmd>
OpenCLI ⭐Websites, Electron apps, and local CLIs as one agent-discoverable CLIChrome session reuse · YAML/TS adapters · External CLI hub · explore/synthesize⚠️npm install -g @jackwener/opencli → opencli list -f yaml; read SKILL.md
Steel ⭐Browser infrastructure for AI agentsSessions API · Puppeteer/Playwright/Selenium connect · CAPTCHA/proxy · Session viewer · MCP✅pip install steel-sdk → Steel().sessions.create() — MCP: steel-mcp-server
Notte ⭐Browser infrastructure that lets AI run on the internet at speedCDP sessions · NL web agents · Vault (secrets never to LLM) · Scraping · notte-mcp✅pip install notte-sdk → NotteClient().Session() — MCP: pip install notte-mcp → python -m notte_mcp.server
Skyvern ⭐AI agents to automate workflows on any websitePOST /v1/run/tasks · Vision agent engines · 2FA/TOTP · Browser sessions · JSON extraction✅API key → Run a task — SDKs in docs
Browser Use Cloud ⭐Managed stealth browsers and NL agent tasks for AIclient.run() · CDP browsers.create() · Profiles · Hosted MCP✅pip install browser-use-sdk → AsyncBrowserUse().run(...) — MCP: https://api.browser-use.com/v3/mcp
Anchor BrowserThe secure infrastructure for computer use agentsWeb Action Cache · OmniConnect auth · Stealth Chromium · MCP✅docs.anchorbrowser.io — Python/TS SDKs on GitHub
Hyperbrowser ⭐Web infra for AI agentsScrape/crawl/CUA MCP tools · HyperAgent · Profiles✅npx hyperbrowser-mcp <API_KEY>
AgentQL ⭐Make the web AI-readyAgentQL query → JSON · Remote browser CDP · Browserless REST⚠️API key → docs.agentql.com
Crawl4AI ⭐Open-source LLM-friendly web crawler & scraperLLM-ready markdown · Extraction · Docker · MCP✅Deploy per docs.crawl4ai.com — MCP from repo
Playwright MCP ⭐Playwright MCP serverAccessibility snapshot tools · Browser automation via MCP · stdio/HTTP transports✅npx @playwright/mcp@latest — playwright.dev/docs/getting-started-mcp
Apify ⭐Real-time web data for AI — Actor marketplace & APIActor runs · Dataset export · Proxies · Schedules · Webhooks⚠️API token → Apify API v2 — JS/Python apify-client
Cloudflare Browser Rendering ⭐Headless Chrome on Cloudflare for AI agentsWorkers bindings · Playwright/Puppeteer · Browser Run · Playwright MCP · REST API✅Browser Run docs — Playwright MCP
Olostep ⭐Web data API for AI agentsScrape · Search · Map · Crawl · Batch · Official MCP✅API key → docs.olostep.com — npx -y olostep-mcp or remote https://mcp.olostep.com/mcp
Lightpanda ⭐Headless browser for AI agents and automationCDP · fetch --dump markdown · Built-in MCP (lightpanda mcp)✅Install binary or Docker → lightpanda serve — MCP guide
Jet Browser ⭐The browser runtime agents can carryWPE WebKit · ordered JSONL · native input · DOM + PNG evidence · bounded MCP verifier✅Docker + curl: curl -fsSL https://raw.githubusercontent.com/masakaai/jet-browser/main/scripts/try-jet.sh | sh
Vessel Browser ⭐Built from the ground-up for agents — durable state, action undo, MCP control, BYOKNamed durable sessions · Action undo · Checkpoints · Agent-editable bookmarks · MCP✅npm install -g vessel-browser then vessel-browser --mcp (or Linux AppImage)
CamoFox Browser ⭐Stealth headless browser for AI agentsStealth sessions · Server/CLI control · Credential-safe profiles · Screenshots/extraction⚠️npm install -g camofox-browser then start the browser server
Moli ⭐Structured-first browser engine for AI agentsSemantic tree · stable node IDs · CDP/WebDriver · screenshots · stdio MCP✅Build the Rust workspace, then run moli fetch, moli serve, or moli mcp
Kernel ⭐you build agents. we give them the internet.Sandboxed Chromium · managed auth · live view/replay · CLI + kernel-cli skill · hosted MCP✅brew install kernel/tap/kernel or npm install -g @onkernel/cli, then kernel browsers create -o json
Stealth Browser MCP ⭐Stealth browser automation for MCP-compatible AI agentsnodriver + CDP · 97 MCP tools · dynamic network hooks · element cloning✅Clone vibheksoni/stealth-browser-mcp, pip install -r requirements.txt, then claude mcp add-json stealth-browser-mcp
FSB (Full Self Browsing) ⭐DOM-first AI browser automation for Chrome and MCP clients.Agent-owned tabs (TAB_NOT_OWNED) · Vault fill (secrets stay in the extension) · Outcome-unknown reporting · run_task delegated runs · Trigger watchers · Session replay✅npx -y fsb-mcp-server@latest install --claude-code + Chrome extension
ego lite ⭐The fastest browser for AI agents to run browser automationPer-agent Spaces · Shared signed-in browser state · Engine-level Snapshots · Code-based actions · macOS + Windows✅npx skills add citrolabs/ego-lite + desktop app
Obscura ⭐Open-source headless browser for AI agents and web scrapingRust/V8 engine · built-in MCP (stdio/HTTP) · CDP server · native rendering · stealth✅Install release → obscura mcp — MCP guide
bdg (Browser Debugger CLI) ⭐Give your AI agent a real browser and DevTools from the shellBackground session · DOM/network/console commands · raw CDP · --help --json · agent skill❌npm install -g browser-debugger-cli → bdg localhost:3000 → bdg install-skill

3. Tool Access & Integration Services

MCP servers, OAuth brokers, and registries — the Model Context Protocol (MCP) keyword space for agents that need discoverable tools without human-in-the-loop wiring.

Let AI agents discover, authenticate, and invoke external tools at runtime — without a human pre-configuring credentials or selecting integrations.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Account AccessLocal delegated account reads for existing agentsNamed operations · scoped client identities · resumable tasks · owner challenges⚠️Follow the official setup guide; the installer provides the skill and CLI
Apify MCP Server ⭐MCP access to Apify Actors for agent web data tasksActor discovery/execution · dataset retrieval · x402/Skyfire payments✅Connect the official remote MCP endpoint following the repository README
Composio ⭐The tool platform built for agentsRuntime tool discovery · Connect Link OAuth · Per-user credential scoping✅npx skills add composiohq/skills
Nango ⭐OAuth and credential layer for AI agentsgetConnection() · Automatic token refresh · 700+ API integrations✅$skills install @NangoHQ/sync-builder-skill
ToolhouseRepetitive tasks, done for you, by AI workersAgent endpoint · MCP tool registry · Built-in RAG · Cron scheduling✅npm install -g toolhouse then th deploy
Smithery ⭐MCP registry — connect agents to thousands of tools & skillsHosted remote MCP · CLI install · OAuth brokerage · Skills catalog✅npx @smithery/cli@latest setup — Smithery docs
MCP GatewayEnterprise MCP — tools, Agent Skills, sandboxes, one URLFederated MCP · Semantic tool search · RBAC · Warm sandboxes✅pip install mcpgateway-sdk — mcpgateway.com
ClawHub ⭐OpenClaw skill marketplace — vector search, versioning, CLISkill versions & tags · Embedding search · SKILL.md registry · OpenClaw packages⚠️npx clawhub@latest search <topic> — claw-hub.net
Arcade ⭐MCP tools with managed OAuthAuthorized tool calling · Secrets off-LLM · Pre-built integrations✅uv tool install arcade-mcp → arcade new my_server — docs.arcade.dev
Aident Loadout ⭐Give your agents real capabilitiesRuntime discover/inspect/preflight/execute · Vault · Audit · 400+ Skills✅Follow https://aident.ai/SETUP.md or npx skills add Aident-AI/aident-skill
Framelink MCP for Figma ⭐Give your coding agent access to your Figma dataLLM-compacted layout/style context · Figma API · stdio MCP✅npx -y figma-developer-mcp --figma-api-key=… --stdio — quickstart
GitHub MCP Server ⭐Connect AI agents to GitHub — repos, issues, PRs, ActionsRemote HTTP MCP · OAuth or PAT · Toolsets · Enterprise paths✅https://api.githubcopilot.com/mcp/ in MCP host — repo README
MCP Toolbox for Databases ⭐MCP server connecting agents to enterprise databasesPrebuilt DB tools · Custom governed tools · IAM · OpenTelemetry✅npx -y @toolbox-sdk/server --prebuilt=postgres + env — mcp-toolbox.dev
ToolHive ⭐Run any MCP server securely, instantly, anywhereMCP server discovery/deploy/manage · secure container runtime✅stacklok.com/download
Obot ⭐Complete MCP Platform — Hosting, Registry, Gateway, Chat ClientHosted MCP servers · Registry · Gateway · OAuth 2.1 · RBAC✅helm install obot obot/obot (or Docker) — obot.ai
Snyk Agent Scan ⭐Security scanner for AI agents, MCP servers and agent skillsAgent component inventory · MCP inspection · Prompt/tool risk detection · CI gates✅uvx snyk-agent-scan@latest scan
Grey Ridge x402 Tools ⭐Vet an MCP server before your agent trusts itMCP tool-poisoning scan (OWASP LLM01/LLM08) · pre-trade Base token gate · CI admission gate · fails closed✅npx -y -p github:rezearcher/greyridge-x402-tools#v0.3.0 mcpscan <mcp-url>
OpenChatCut ⭐Local-first agent-native video editor with editable timelinesAgent Skill · Streamable HTTP MCP · isolated drafts · EditorCore tools✅npx skills add 0xsline/OpenChatCut, then ask the agent: Set up OpenChatCut
Toolport ⭐Every tool. One port.Lazy MCP meta-tools · per-client profiles · tool integrity · keychain secrets✅Install from GitHub Releases, add servers, then connect each AI client to toolport-gateway
SandBase CLI ⭐Give your AI agent superpowers. One command. 2,000+ AI models.Local MCP bridge · discover/inspect/run · client-scoped credentials · Agent Skill✅Immutable v0.1.17 tarball: npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz connect, then npx skills add sandbaseai/cli --skill sandbase
ContextForge ⭐Registry and proxy that federates MCP, A2A, and REST/gRPCFederated MCP · A2A routing · gRPC-to-MCP · UAID · OTEL✅uvx --from mcp-contextforge-gateway mcpgateway --host 0.0.0.0 --port 4444 — or docker pull ghcr.io/ibm/mcp-context-forge:latest
MCP Gateway & Registry ⭐Unified Agent & MCP Server Registry – Gateway for AI Development ToolsIdP gateway · virtual MCP · A2A registry · 3LO egress · audit✅git clone https://github.com/agentic-community/mcp-gateway-registry && ./build_and_run.sh --prebuilt
MCPHub ⭐One gateway for all your MCP servers.Unified /mcp · groups · $smart routing · bearer/OAuth · Docker✅docker run -p 3000:3000 -v ./data:/app/data samanhappy/mcphub — then connect to http://localhost:3000/mcp
MCPJungle ⭐Run all your MCP servers behind one endpointOne /mcp · tool groups · enterprise client tokens · MPL-2.0✅docker compose up -d then mcpjungle register --name context7 --url https://mcp.context7.com/mcp
MetaMCP ⭐MCP Aggregator, Orchestrator, Middleware, Gateway in one dockerNamespaces · middleware · Streamable HTTP/SSE · sk_mt_ keys · MIT✅git clone https://github.com/metatool-ai/metamcp.git && docker compose up -d — last push 2026-06-22
Scalekit ⭐Connect your agents to any tool. Authenticated, scoped, and logged.Per-user OAuth, API key & RSA credentials in a token vault (bring your own KMS key) · 500+ connectors / 20,000+ tools · Admin-scoped Virtual MCP servers · Per-run session tokens · Tool-call audit logs✅npx skills add scalekit-inc/authstack --skill integrate-agentkit — docs.scalekit.com/agentkit
CLI-Anything ⭐Making ALL software agent-nativeAgent-run CLI harness generator · --json CLIs · CLI-Hub registry · meta-skill⚠️npx skills add HKUDS/CLI-Anything --skill cli-hub-meta-skill -g -y — or pip install cli-anything-hub
REA ⭐Reverse engineer anything with agentsBinary decompile (Ghidra/IDA/Hopper) · Electron/JS · .NET · APK · web traffic · evidence-backed findings✅npx rea-agents setup → restart agent → rea doctor --json
TadkaThe booking layer for AI agents.Remote MCP OAuth booking · open REST directory · OpenAPI · llms.txt✅Add MCP https://tadka.xyz/mcp (OAuth as diner), or GET https://tadka.xyz/api/public/v1/restaurants

4. Oversight & Approval Services

Give AI agents a structured, programmatic way to request human approval before executing high-stakes actions.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Cordum ⭐The open agent control planePre-execution policy · approval gates · audit trails✅Deploy Cordum and connect MCP/framework agents
Sondera Coding Agent Hooks ⭐A reference monitor for AI coding agentsRust hooks · Cedar policies · shell/file/web interception⚠️Install hook binaries and Cedar policies
HumanLayer ⭐Human in the Loop for AI Agents@require_approval() · Denial-feedback injection · Run/Call ID audit trail✅pip install humanlayer then decorate high-risk functions with @hl.require_approval()
Sallyport ⭐Let your agent touch prod. Keep the keys.MCP credential gate · HTTP/SSH execution · per-call approval · signed journal✅brew install --cask olegsotnikov/tap/sallyport, then add its sp mcp command to the agent
Preloop ⭐The Open Source Control Plane for AI AgentsMCP firewall · CEL approvals · model gateway budgets · session audit✅curl -fsSL https://preloop.ai/install/cli | sh then preloop signup and preloop agents discover
withHuman ⭐The approval layer for AI agentsTool-call interception · approval pipelines · escalation paths · open AAP protocol · audit⚠️Self-host or hosted → connect Claude Code/Codex hooks or AAP SDKs — withhuman.ai
Tracekit ⭐Let your agents act. Prove every action.Per-call allow / deny / ask · approvals bound to exact arguments, used once · signed, offline-verifiable run record✅pip install tracekit-ai, then tracekit.instrument() as the agent's first line; answer held calls with tracekit approvals

5. Commerce & Payment Services

Give AI agents a verified financial identity and the ability to transact in the real economy.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Circle Agent StackFinancial infrastructure for the agentic economyAgent wallets · marketplace · CLI · x402 gateway · agent skills⚠️Read https://developers.circle.com/agent-stack and follow the quickstart
OpenLibx402 ⭐Open-source library for AI-native x402 integrationsPython/Node SDKs · FastAPI/Express middleware · HTTP 402 flow⚠️Install the Python or Node SDK from openlibx402/openlibx402
Payman AIAgentic AI that does the banking. Under your control.Policy-gated transaction · Intent reasoning · Execution trace✅Review the current API license, then request API access; no current public SDK package was verified
SkyfireIdentity and payments for autonomous AI agentsKYA identity token · Agent wallet · KYAPay open protocol⚠️Register at skyfire.xyz/product — receive agent wallet + KYA identity token
AgentsPayCrypto identity and embedded wallets for AI agentsW3C DID on Base L2 · USDC wallet · MCP-native API gateway✅Provision wallet at agentspay.dev, then use MCP-native gateway
TollexThe economic control plane for autonomous softwareFree resolve plan · x402 per call (USDC on Base, USDG on Robinhood Chain) · signed receipts⚠️Read https://tollex.org/llms.txt, then https://tollex.org/docs/getting-started/
NeverminedThe payment layer AI agents actually needHTTP x402 protocol · Inline payment · Usage/outcome-based billing⚠️pip install payments-py — x402 handles payments transparently in the HTTP cycle
Coinbase CDP (x402) ⭐HTTP 402 payments for autonomous API clientsFacilitator verify/settle · Multi-language SDKs · Bazaar discovery⚠️docs.cdp.coinbase.com/x402 — pip install x402 or @x402/* per coinbase/x402
CyMetica AI (EventTrader)Agentically engineered financial platform with autonomous AI trading agentsA2A envelopes · MCP descriptor · prediction markets · market-making loops✅Read https://cymetica.com/.well-known/agent.json and https://cymetica.com/.well-known/mcp.json
SecondSign Core ⭐Independent transaction co-signer for financial AI agentsPolicy engine · mTLS gateway/approver · execute-once rail · hash-chained receipts⚠️pip install secondsign-core then python examples/quickstart.py (pre-1.0 evaluation)
UCP ⭐The common language for platforms, agents, and businessesCapability profiles · checkout sessions · OAuth linking · AP2 payments⚠️Read ucp.dev then cargo install ucp-schema — samples/SDKs under Universal-Commerce-Protocol
AP2 ⭐An open protocol for the emerging Agent EconomyCheckout/payment mandates · VDC chain · A2A/UCP extension⚠️uv pip install git+https://github.com/google-agentic-commerce/AP2.git@main — last code push 2026-06-17
MPP ⭐MPP lets agents pay for services on the web, extensible to any payment methodHTTP 402 Challenge/Credential/Receipt · Tempo sessions · MCP transport · mppx⚠️npm i mppx then Mppx.create({ methods: [tempo({ account })] }) — quickstart
AffixIOHost-side KYA / x402BeforePay action attestation before agent pay or tool usex402BeforePay · agenticPay · mcpToolGate · KYA createAgentTrust⚠️npm install affixio - https://www.affix-io.com/agent-trust/
SaifuroThe financial OS for the AI agent economyPer-agent mandate · ES256 signed verdict · eight decision codes · observe mode · append-only decision log⚠️Request keys at saifuro.com (issued per org at onboarding), then POST /v1/authorizations per the first authorization guide
Veyra ⭐Let your AI agents make payments — with guardrails you control.Per-agent MCP endpoint · auto/ask/block · Base USDC · simulated rail✅claude mcp add --transport http veyra https://veyra.money/api/mcp — or npx -y veyra-mcp
Lumen Tab ⭐Prepaid USDC tabs for pay-per-call AI agent APIs on ArcPrepaid tab (payment channel) · EIP-712 vouchers · HTTP 402 · ERC-8004 provider id · early-stage, unaudited⚠️npm install github:Dansgit2b/lumen-tab then new TabPayer({ account, tabId, provider }).fetch(url)
402xAgent ⭐The check an agent calls before paying any x402 endpointUnpaid 402 probe · pay/skip/recheck verdict · public receipts · never pays the target✅Call https://api.402xagent.com/v1/products/endpoint-spot-check?url=<endpoint> or MCP https://api.402xagent.com/mcp (tool endpoint_spot_check)
INAM Protocol ⭐Check an AI agent or x402 seller before you pay itTwo-party signed receipts (did:key) · Merkle transparency log · evidence-level reputation · x402 payTo binding check · early-stage✅curl 'https://api.inamprotocol.org/v1/check?target=<target>' or npx inamprotocol check <target> — MCP https://api.inamprotocol.org/mcp (no auth)
Priors ⭐Reputation for AI agents that is earned, public and recomputableERC-8004 credit pool · Score v2 · hosted read-only MCP · SDK/CLI✅claude mcp add --transport http priors https://mcp.priors.trade/mcp
Shinjuku ShieldPrivacy-only x402 facilitator for AI agents on SolanaSelf-custody shielded USDC · local MCP wallet · spend caps · private settle✅npm install -g shinjuku@0.3.86 then shinjuku setup — shinjukustaition.com
G2 Jobs (APEX Faucet)An ERC-8183-readable job escrow for AI agents on Base and Arc, in USDCAgent job escrow · provider quote · pays on evaluator silence · kill fee✅Read https://apexfaucet.xyz/g2/jobs/llms.txt, then MCP https://apexfaucet.xyz/api/mcp/g2jobs or npm install @apexfaucet/g2-agentkit
send21Payments for AI agents, without giving them your keysScoped non-spending API keys · payment drafts / pay links · signed webhooks✅Connect MCP https://send21.io/mcp or use the REST API (OpenAPI)

6. Agent Runtime & Infrastructure Services

Provide the secure deployment substrate, session isolation, secret management, identity, gateway, and observability required to run agents in production.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
agentOS by FiservGoverned operating layer for deploying AI agents in bankingGovernance guardrails · Audit trail · HITL controls · Agent marketplace⚠️Start at https://www.fiserv.com/en/lp/agentos-by-fiserv.html
ATXP ⭐Wallet + paid MCP runtime layer for AI agentsAgent wallet · Paid MCP tool invocation · Per-call pricing/authorization✅ATXP docs — CLI / SDK / MCP-compatible endpoints
Claude Peers ⭐Claude Code sessions discover peers and message each other locallyPeer discovery · Ad-hoc messaging · Channel push · Repo/directory scope✅Clone repo → bun install → claude mcp add per README
acpx ⭐Headless ACP CLI — agents talk to coding agents over structured protocolPersistent sessions · Prompt queueing · Cooperative cancel · Structured outputN/Anpm install -g acpx then acpx codex "fix the tests"
Codex plugin for Claude Code ⭐Use Codex from Claude Code for review or delegated Codex tasksReview · Adversarial review · Rescue subagent · Background jobs · Optional review gateN/A/plugin marketplace add openai/codex-plugin-cc then /plugin install codex@openai-codex per README
OpenAI Symphony ⭐Turns project work into isolated, autonomous Codex implementation runsIssue polling · isolated workspaces · WORKFLOW.md policy · JSON status⚠️Read the specification and reference implementation; evaluate in a trusted environment before production use
Multica ⭐AI-native PM — agents as first-class teammates; local daemon runs Claude / CodexAgent assignee · Claimed task queue · Isolated run workspaces · Team skills · WebSocket⚠️brew install multica-cli → multica login → multica daemon start — CLI guide
cx ⭐Semantic code navigation for AI agents without a language serverTree-sitter index · overview/symbols/definition/references · TOON + --json · cx skillN/Acargo install cx-cli → cx lang add … → cx skill >> AGENTS.md
Chrome DevTools MCP ⭐MCP server — coding agents control and inspect live ChromePuppeteer automation · DevTools debug · Performance traces · stdio MCP✅npx -y chrome-devtools-mcp@latest in MCP config — repo README
Serena ⭐The IDE for your coding agentSymbol-level MCP tools · LSP or JetBrains backend · Agent memory✅uv tool install -p 3.13 serena-agent@latest --prerelease=allow → serena init — docs
Cloudflare Agents SDK ⭐Durable, stateful AI agents on Cloudflare Workers and Durable ObjectsAgent class · Durable state · Project Think · MCP · Browser Run · Sandbox/Code Mode✅npx create-cloudflare@latest --template cloudflare/agents-starter
Amazon Bedrock AgentCorePurpose-built for deploying and scaling dynamic AI agents and toolsAgent runtime · Long-term memory · Identity tokens · Tool gateway · OTEL tracing⚠️pip install boto3 — configure AgentCore runtime via AWS SDK
Gemini Enterprise Agent PlatformScale your agents (formerly Vertex AI Agent Engine)Managed runtime · Sessions · Memory Bank · Code execution · A2A · Agent identity⚠️pip install "google-cloud-aiplatform[agent_engines,adk]" — scale docs
Claude Managed AgentsManaged agents, sessions, and environments on the Claude APIVersioned agents · Stateful sessions · Container environments · Skills & Files (beta)⚠️pip install anthropic — Managed Agents quickstart + beta headers
Infisical Agent Sentinel ⭐Secrets and credential governance for AI agentsDynamic secret generation · Token lifecycle daemon · Per-agent policy✅npx -y @infisical/mcp or deploy the agent daemon sidecar
APort Agent Guardrails ⭐Pre-action authorization guardrails for AI agentsOAP passport · Policy verification · Tool-call audit log❌npx @aporthq/aport-agent-guardrails then choose openclaw, cursor, claude-code, langchain, or crewai
Letta ⭐The fastest way to bring stateful agents to productionStateful agent · Model-agnostic state · Agent templates · Self-editing memory✅pip install letta-client then client.agents.create(...)
AembitSecretless workload identity and access management for AI agentsAgent workload identity · Blended identity · JIT credentials · Anomaly detection✅Configure Aembit access policy — agent requests JIT credentials at runtime, no code changes
db9Postgres but for agentsSQL + filesystem · Vector search · HTTP-from-SQL · Environment branching · Cron⚠️Read https://db9.ai/skill.md and follow the instructions
AgentAnycast ⭐Connect AI agents across any network — no public IPPeer ID · AgentCard skills · NAT traversal · E2E Noise_XX · Task artifacts✅pip install agentanycast → agentanycast demo; MCP: agentanycastd --mcp-listen stdio or uvx agentanycast-mcp
Scrapybara ⭐Remote desktops for computer-use agentsUbuntu/Browser/Windows instances · Act SDK (Computer/Bash/Edit) · scrapybara-mcp✅pip install scrapybara → Scrapybara().start_ubuntu() — Act SDK
Agentuity ⭐Full-stack platform for AI agentsSandboxes · Storage tools · OTel · Evals on live traffic · Edge deploy⚠️agentcompany.com/agentuity — SDK + CLI per docs (agentuity.dev redirects here)
Modal ⭐Serverless AI infra — GPUs, inference, sandboxes, batchElastic containers · Programmatic sandboxes · Sub-second cold start❌pip install modal → modal setup — modal.com/docs
Cyberdesk ⭐Open source virtual desktops for AI agentsDesktop lifecycle API · computer actions · isolated sessions⚠️pip install cyberdesk — docs.cyberdesk.io
Polos ⭐Open-source runtime for AI agents — sandbox + durable workflow + HITLDocker/E2B sandbox · Durable steps with prompt cache · HTTP/cron/webhook/event triggers · Slack HITL⚠️pip install polos (or npm install polos) — see README
Cloudflare Computer ⭐Give your agent a computerDurable Object workspace FS · runtime.exec backends · preview APIs⚠️npm install @cloudflare/computer then withWorkspace on a Durable Object — preview only
Agent Executor (AX) ⭐An open source distributed agent runtimeConversation resume · event log · isolated harnesses · ax CLI⚠️go install github.com/google/ax/cmd/ax@latest then ax --input "…"
Agent Substrate ⭐High-density Kubernetes runtime for large-scale agent deploymentsActors · WorkerPools · suspend/resume · atenet routing⚠️hack/install-ate-kind.sh --deploy-ate-system then kubectl ate create actor — early-dev, not a supported Google product
SandBase Harness ⭐A local-first runtime for AI agents.HTTP/API · stdio MCP · TypeScript runtime/CLI · Docker/Kubernetes/workers✅Follow the installation guide and server.json MCP metadata
Cohesivity ⭐backend infra your agents can actually use.Ephemeral tenant · HTTP API · local/hosted mutating MCP · docs /mcp · Skill✅npx --yes @cohesivity/init@0.8.3 — public /mcp is docs-only; mutating MCP is plugin/local or /mcp/manage
VectoreeGive your coding agent a backendModels gateway (OpenAI-compatible) · App-user auth · Postgres · Object storage · Tool Hub MCP · Skill + CLI⚠️Read https://vectoree.ai/SKILL.md and follow the instructions
Cua ⭐Scale computer fleets for every agentBackground Driver · Linux/Windows/macOS/Android Fleets · Lume · Bench · CUA-S1✅cua-driver install + cua-driver mcp — connect your agent; Fleets at run.cua.ai
Agent Rider ⭐Stop making your agents re-prove themselves every time.ES256 rider JWT · local JWKS · agent DMs · remote MCP✅Read https://agentrider.fly.dev/llms.txt and follow the instructions to register a seat, mint a rider, and verify it locally
Auten ⭐Give your AI agent hands. It clicks, types and sees your screen.Real Mac/Windows/Linux desktop + Android phone (beta) · AX element ids · learned skills replay without the model · local secrets✅claude mcp add auten -- npx -y @autenai/mcp after curl -fsSL https://auten.ai/install | bash — setup for agents
UTA Trust API ⭐The USB-C of agent trust — paid verification of Agent Trust CardsATC/1.0 verify · x402 $0.01/call · Fail-closed · Rekor anchors · Delegation (ATC-009)N/Aopenapi.json — settle via x402, or npm agent-trust-card
deed.page ⭐Permanent static hosting for AI agentsAccount-on-first-call publish · Agent-chosen permanent slug · Token-owned sites · If-Match / 409 conflicts · Version restore · URL onboarding✅Read https://deed.page/skill.md and follow the instructions to publish a page. or npx skills add f-o-x11/deed-page-skill — MCP: https://deed.page/mcp
three.ws ⭐The 3D Agent Layer of the InternetGrok MCP mcp-grok · free forge/avatar · grok-skill.md · Apache-2.0✅Add MCP https://three.ws/api/mcp-grok, or Read https://three.ws/grok-skill.md

7. Agent Harnesses & Operator Surfaces

Wrap capable agents with durable objectives, orchestration, verification, policy, or a purpose-built live surface for operating concrete sessions.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
oh-my-codex (OMX) ⭐Workflow and multi-agent runtime layer for OpenAI Codex CLIDurable goals · role workflows · teams/worktrees · authority leases · replay⚠️npm install -g oh-my-codex → omx setup --scope project --merge-agents → omx doctor
Ruflo ⭐Agent meta-harness for Claude Code and CodexSwarms · memory · background workers · federation · budgets✅npx ruflo@latest init --codex
QM ⭐Multiplayer agent harness for workPersonal/shared scopes · durable sandboxes · policy · crons/watches⚠️npm exec --yes --package=@yc-software/qm@latest -- qm init . --org <slug> --target <fly-or-aws>
LongHorizon-Harness ⭐Verified long-horizon loop for desktop and CLI agentsManager/Executor/Auditor · checkpoints · recovery · evidence⚠️uv tool install lh-harness → lh-harness init → lh-harness run --task "..." --agent codex
Agent QA ⭐The self-improving QA agent for software teamsLive run IDs · observe/plan/execute/verify · memory · queue cancel✅npx agent-qa init → codex mcp add agent-qa -- agent-qa mcp
Codex HUD (fwyc0573) ⭐Real-time statusline HUD for OpenAI Codex CLIContext/tools/subagents · multi-session view · attach/list/kill⚠️Clone fwyc0573/codex-hud, run ./bin/codex-hud-install, then launch codex
Codex HUD (anhannin) ⭐Patched Codex status line for usage and session stateModel/project/git · rollout session · 5-hour and 7-day usage windows⚠️Clone anhannin/codex-hud, review the patch/install script, then run Codex-HUD/install.sh
Claude HUD ⭐A Claude Code plugin that shows what's happeningContext/usage bars · tools · subagents · todos · statusline⚠️/plugin marketplace add jarrodwatts/claude-hud then /plugin install claude-hud and /claude-hud:setup
LoopX ⭐The open, provider-neutral, stateful control plane for long-horizon agentsObjectives · gates · todos/evidence · quota · claims/leases⚠️python3 -m pip install --upgrade loopx then loopx workflow-skills --install and loopx connect
DeepSeek Harness (dsh) ⭐Everything is a Plugin.Cordis plugins · session log · Trajectory · PTC/Code Mode⚠️npx @deepseek-ai/dsh web
YYLO ⭐Run the work. Keep the memory.Typed tasks · frozen-target worktrees · watch receipts · merge land⚠️npm install -g @yylo/cli@latest then yy init --task "…" --subagent pi
Pizza Bot ⭐Pizza Bot is an inbox for long-running AI work.Unread/Action queues · checkpointed runs · skill subagents · folder grants⚠️Clone pizza-bot → npm install && npm run build && npm run dev
txcript ⭐Continue your conversation in another coding agent.Harness codecs · canonical transcript · continue/export · session search✅cargo install --git https://github.com/skillsynchq/txcript txcript-cli --locked then txcript continue <id> --with codex; MCP: txcript mcp
peerd ⭐peerd: the AI agent harness native to the browserIn-browser loop · keyless actors · WASM compute · vaulted BYOK⚠️git clone https://github.com/NotASithLord/peerd.git then Load unpacked extension/
Reef ⭐Infrastructure for continually self-improving agentsServe/observe/grow/commit · weight or harness learning · versioned artifacts⚠️uv pip install reef-infra then uv run reef serve … — quickstart

8. Memory & State Services

Agent-native databases and memory layers for long-term recall — temporal graphs, vector stores, and shared agent memory beyond a single chat session.

Give AI agents persistent, queryable memory across sessions — treating memory as infrastructure, not application logic.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Memmy ⭐Personal local memory hub shared by AI agentsShared memory · JSON CLI/REST · lifecycle hooks · bundled Skills⚠️Clone MemTensor/memmy-agent, start the local service, then run memmy-memory init and memmy-memory health
Memoria ⭐Persistent memory layer for AI agents with Git-level version controlSnapshots · branches · REST · MCP✅memoria serve or memoria mcp
Recall ⭐Open-source memory for AI agents. MCP-native. Self-hosted.Persistent searchable memory · Docker · MCP stdio✅uvx ai-recallworks stdio
GoodMemMemory that survives context windows.Persistent memory spaces · Semantic retrieval · Workload identities · Scoped keys✅Connect to the instance's /mcp endpoint with an API key — HTTP MCP setup; read-only retrieval and diagnostics
Mem0 ⭐The memory layer for your AI agentsMemory extraction · Conflict resolution (ADD/UPDATE/DELETE/NOOP) · Semantic retrieval · 90% token savings✅pip install mem0ai then m.add(messages, user_id=...)
Zep ⭐Agent memory powered by a temporal knowledge graphTemporal knowledge graph · Automatic fact invalidation · Business data fusion · Sub-200ms retrieval✅pip install zep-python then zep.add_session_message(...)
Graphiti ⭐Build Real-Time Knowledge Graphs for AI AgentsTemporal context graph · episodes · hybrid search · MCP · OSS ≠ Zep✅pip install graphiti-core or uv run graphiti_mcp_server.py
Ensue ⭐The shared memory network for AI agentsClaim · Publish result · Hypothesis exchange · Insight network · Collective best · Hypergraph✅Read the official Ensue Skill and follow its instructions
OpenViking ⭐The context database for AI agentsviking:// filesystem · viking://agent/ namespace · L0/L1/L2 tiered loading · Self-evolution loop✅pip install openviking → openviking-server → add MCP at localhost:8000/mcp
MemOS ⭐A memory OS for LLM and AI agent systemsMemCube · Parametric/activation/plaintext memory · MemScheduler · +43.7% vs OpenAI Memory✅pip install memos-core then memory.add(...) / memory.get(...)
memU ⭐Memory for 24/7 proactive AI agentsDual-mode (Fast Context + Deep Reasoning) · Continuous monitoring · 90% token savings⚠️pip install memu — runs continuous stream monitoring with near-zero idle cost
mem9Persistent memory for AI agentsCloud memory · Hybrid search · Lifecycle hooks · Cross-agent sharing⚠️Read https://mem9.ai/skill.md and follow the instructions to register and join
LLM Wiki ⭐LLM-compiled knowledge bases for any AI agentParallel research · Source ingest · Wiki compile · Deep query · Artifact generation⚠️claude plugin install wiki@llm-wiki — llm-wiki.net
MemMachine ⭐Universal memory layer for AI AgentsEpisodic graph · Profile SQL · Working memory · LangChain/CrewAI adapters⚠️pip install memmachine then Memory().add(messages, agent_id=...)
Cognee ⭐Memory control plane for AI agents — managed world modelAuto ontology · 28+ connectors · Per-agent permissions · MCP server✅pip install cognee → cognee.add(docs) → cognee.cognify() → cognee.search(...)
Hindsight ⭐Agent Memory That Learnsretain() · recall() · reflect() · Dedicated memory banks⚠️pip install hindsight-ai then use retain/recall/reflect in the agent loop
agentmemory ⭐Your coding agent remembers everything. No more re-explaining.Shared memory server · MCP/hooks · 17 skills · INSTALL_FOR_AGENTS.md✅Read https://raw.githubusercontent.com/rohitg00/agentmemory/main/INSTALL_FOR_AGENTS.md and follow the instructions
TencentDB Agent Memory ⭐Agents remember,Humans innovate.Symbolic Mermaid canvas · L0–L3 layering · OpenClaw/Hermes plugins⚠️openclaw plugins install @tencentdb-agent-memory/memory-tencentdb then enable memory-tencentdb
MemPalace ⭐The best-benchmarked open-source AI memory system. And it's free.Verbatim drawers · wings/rooms · pluggable backends · 44 MCP tools✅uv tool install mempalace then mempalace init / mine / search
MemSearch ⭐Cross-platform semantic memory for AI coding agentsMarkdown + Milvus hybrid search · progressive recall · harness plugins⚠️uv tool install "memsearch[onnx]" or /plugin marketplace add zilliztech/memsearch
Claude-Mem ⭐Persistent memory compression system for Claude CodeAuto-firehose observations · compression worker · session priming · MCP search✅npx claude-mem install or /plugin marketplace add thedotmack/claude-mem then /plugin install claude-mem
Engram ⭐Persistent memory for AI coding agentsAgent-curated mem_save/mem_search · SQLite FTS5 · single Go binary✅brew install gentleman-programming/tap/engram then claude plugin install engram or engram setup <agent>
Supermemory ⭐The Memory API for the AI eraadd_memory/search_memory/forget_memory · profiles · permissioned spaces · MIT✅Connect MCP to https://mcp.supermemory.ai/mcp (OAuth)
Beads ⭐Dependency-aware, Dolt-backed issue tracker built for AI coding agents that survive context lossbd ready/claim · hash IDs · Dolt sync · bd prime✅brew install beads then bd init --quiet and bd setup claude
projectmem ⭐We don't make AI smarter. We make it experienced.Typed event log · pjm precheck · one MCP for every project✅pip install -U projectmem then pjm doctor --fix and wire python -m projectmem.mcp_server
Memoir ⭐Git for AI MemorySemantic paths · branch/merge · memoir-mcp · Alpha✅pip install memoir-ai or /plugin marketplace add zhangfengcdt/memoir
Memorix ⭐Local-first shared memory layer for AI coding agents.Git-root daemon · Workset · Git Memory · memorix serve✅npm install -g memorix then memorix setup --agent claude --global
Compartment ⭐Encrypted, fully offline memory for AI agents.Encrypted vault · one-claim memories · compartment serve✅pip install compartment && compartment init && compartment integrate claude
mcp-memory-service ⭐Memory for AI Agents — REST, MCP, OAuth, CLIX-Agent-ID · causal graph · OAuth DCR · 76 REST endpoints✅pip install mcp-memory-service then memory server or memory server --http
Mnemoverse ⭐Persistent memory for AI agentsOutcome feedback re-ranks recall · Importance gate on write · Hebbian concept links · Shared rooms (Beta)✅Add https://mcp.mnemoverse.com/mcp as a remote MCP server and sign in, or npx -y @mnemoverse/mcp-memory-server@latest with a free API key from console.mnemoverse.com
DexioOne wiki for all your agentsShared markdown wiki · Per-agent change history · Version-guarded writes · Wiki health report · Device sign-in✅Read https://dexio.wiki/agents.md and follow the instructions to connect. MCP: https://app.dexio.wiki/mcp
ContextStream ⭐Persistent memory. Millisecond code search.Hosted/local MCP · project code search · saved decisions/lessons · Slipstream agents✅`curl -fsSL https://contextstream.io/scripts/mcp.sh
Zambo ⭐Give your AI hands, memory, and proof.Handover · Cross-AI memory · Verifiable receipt per call✅Add https://zambo.dev/mcp as a remote MCP server; no API key to start

9. Search & Web Intelligence Services

Give AI agents optimized, structured access to web information — returning LLM-ready content tuned for context windows, not raw HTML or human-readable SERPs.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
contextX ⭐Remote MCP search powered by Grok normal and multi-agent deep searchgrok_search · grok_deep_search · Streamable HTTP · read-only public endpoint✅Connect MCP to https://mcp.twitter.monster/mcp; note that upstream publishes no auth, release, or license
Jina DeepSearchAgentic search and deep research API for AI applicationsDeep search · iterative research · cited answers · HTTP API⚠️Follow the Jina DeepSearch API docs
Tavily ⭐Connect your agent to the webAgent-optimized search · Multi-step research · Source attribution✅npx skills add tavily-ai/skills
ExaThe search engine designed for AINeural/semantic search · exa-code for coding agents · Websets✅pip install exa-py then exa.search(query)
ParallelThe highest accuracy web search for your AISearch/Task/FindAll/Monitor APIs · Citations · Official MCP✅pip install parallel-web — hosted Search MCP: https://search.parallel.ai/mcp · task-mcp
Jina Reader ⭐URL and SERP as LLM-friendly textr.jina.ai · s.jina.ai · MCP · PDF/images✅curl "https://r.jina.ai/https://example.com" — MCP: mcp.jina.ai
NotHumanSearchAgent-first search — the index of services designed for AI, not humansagentic_score rank · check_agent_readiness · verify_mcp JSON-RPC probe · URL Onboarding✅Read https://nothumansearch.ai/llms.txt and follow the instructions — MCP: https://nothumansearch.ai/mcp
Linkup ⭐Search API for AI agents and LLM appsLLM-oriented search · Structured retrieval · Citation-ready outputs⚠️API key via docs.linkup.so then call search endpoints via SDK/REST
Agent Search MCP ⭐Free-first web search with inspectable evidenceEvidence packet · free-first policy · budgets · fasm CLI✅npx -y agent-search-mcp — optional npx skills add lennney/agent-search-mcp --skill agent-search
Context7 ⭐Up-to-date docs for AI agentsresolve-library-id · query-docs · version-matched snippets · MIT✅npx ctx7 setup — MCP: https://mcp.context7.com/mcp
ProofFetchWeb pages your agent can quoteNumbered citable paragraphs · SHA-256 receipts · prompt-injection scan · open-source verifier✅Read https://prooffetch.steellantern.com/llms.txt and follow the instructions — MCP: https://prooffetch.steellantern.com/mcp (hosted service closed-source)
ReleaseLog ⭐Verified AI release intelligence for AI agentswhatChanged · importance · entity timelines · public JSON and Atom · URL Onboarding⚠️Read https://releaselog.site/skill.md and follow the instructions
SerpKite ⭐The Google SERP API built for AI agentsRemote MCP · Markdown SERP · cited answers · REST/SDKs✅Add MCP https://api.serpkite.com/v1/mcp (OAuth or SERPKITE_API_KEY)

10. Code Execution Services

Give AI agents a secure, isolated runtime for executing generated code — without human-side sandbox setup and with output formatted for LLM consumption.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Axern ⭐Open-source sandbox platform for AI agentsLocal/remote sandboxes · CLI · gRPC/HTTP · Go/Python/TypeScript SDKs · Axrun evidence⚠️brew install cofy-x/tap/axern then axern local up; pre-1.0 evaluation software requiring production hardening
OpenSandbox ⭐Secure, fast, extensible sandbox runtime for AI agentsSandbox runtime · Kubernetes · MCP server✅Follow OpenSandbox docs and run MCP server
CodeRunner ⭐A local sandbox for your AI agentsApple Containers · local sandbox · MCP✅Install from GitHub and run isolated agent workloads
E2B ⭐Cloud for AI agents — secure sandboxes for AI-generated codeEphemeral Linux VM · ~150ms cold start · Stateful execution context · Streaming output✅pip install e2b-code-interpreter then with Sandbox() as sandbox:
Runloop ⭐Your AI agent acceleratorDevbox micro-VM · Snapshot/branch disk state · Benchmark jobs · Suspend/resume✅export RUNLOOP_API_KEY=... → npm install -g @runloop/rl-cli → rli mcp install — CLI docs
Vercel Sandbox ⭐Firecracker microVMs for AI-generated codeNode/Python runtimes · Snapshots · REST + @vercel/sandbox SDK❌npm install @vercel/sandbox — vercel.com/docs/sandbox
AIO Sandbox ⭐All-in-one Docker sandbox for AI agentsBrowser + shell + files + VS Code + Jupyter + MCP · Shared filesystem✅docker run -p 8080:8080 ghcr.io/agent-infra/sandbox:latest — MCP http://localhost:8080/mcp
Agent SandboxThe trusted runtime for untrusted codeHosted code sessions · Dependency install · Files/artifacts API · URL onboarding⚠️Read https://agentsandbox.co/skill.md and follow the instructions
RizaAI writes code. Riza runs it.Command Exec API · Tools API · Secrets · MCP · Self-hosting✅uv add rizaio then riza.command.exec(...) — docs.riza.io
Agent Sandbox (Kubernetes SIG) ⭐Secure isolated execution layer for autonomous agents on KubernetesSandbox CRD · WarmPool/Claim · RuntimeClass · Python/Go SDKs⚠️pip install k8s-agent-sandbox then SandboxClient().create_sandbox(...) — not hosted agentsandbox.co
Clawk ⭐Give a coding agent its own disposable Linux machine, not yoursLocal hypervisor VM · DNS-aware egress allow-list · status --json · snapshot/destroy⚠️brew install clawkwork/tap/clawk then cd <repo> && clawk (pre-1.0; macOS Apple silicon)
Dormice ⭐The SQLite of agent sandboxes — self-hosted, idle costs nothingIdempotent acquireSandbox · freeze/stop/archive · HTTP RPC · E2B SDK compat⚠️curl -fsSL https://raw.githubusercontent.com/BitMiracle-AI/Dormice/main/deploy/install.sh | bash then npx skills add BitMiracle-AI/Dormice (early-dev)
CubeSandbox ⭐Instant, Concurrent, Secure & Lightweight Sandbox Service for AI AgentsE2B-compat API · RustVMM+KVM · CubeCoW · credential vault⚠️curl -sL https://github.com/tencentcloud/CubeSandbox/raw/master/deploy/one-click/online-install.sh | CUBE_PVM_ENABLE=1 bash then pip install e2b-code-interpreter
forkd ⭐A microVM sandbox runtime for AI agent fan-out.Firecracker CoW fork · live BRANCH · forkd-mcp✅curl -sSL https://github.com/deeplethe/sandstorm/releases/download/v0.5.3/forkd-v0.5.3-x86_64-linux.tar.gz | sudo tar -xz -C /usr/local/bin/ then sudo -E forkd quickstart
SmolVM ⭐SmolVM: secure microVM sandboxes for AI agentsFirecracker/QEMU/libkrun · browser sandbox · snapshots⚠️curl -sSL https://celesto.ai/install.sh | bash then from smolvm import SmolVM
LatchkeyCI your coding agents can run, read and fixFresh ephemeral runner per command · Failure bundles · Self-healing runners · Workflow dispatch✅claude mcp add --transport http latchkey https://latchkey.dev/mcp --header "Authorization: Bearer $LATCHKEY_TOKEN" — docs
The Vibe HostingOne prompt → root Linux → your project is live.Account-on-first-call · Root Ubuntu server on HTTPS subdomain or own domain via CNAME (gVisor) · Wake-on-connect · Prepaid credit cap · URL onboarding⚠️Read https://thevibehosting.com/SKILL.md and follow the instructions to deploy your project. or npx skills add ladik33/thevibehosting-skill

11. Observability & Tracing Services

Give teams structured visibility into agent execution — full trajectory tracing, evaluation datasets, and cost attribution.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
numbat ⭐Endpoint visibility into AI agent activityLocal detection · optional pre-action blocking · forensic reconstruction · OTLP/NDJSON⚠️Build/install from perplexityai/numbat, then configure its agent hooks and telemetry endpoint
Agent Trace ⭐Observability for AI agentsCLI · traces · cost/tool visibility⚠️Install agent-strace from PyPI/GitHub and wrap agent runs
agent-inspect ⭐Local execution trees for TypeScript AI agentsTS instrumentation · execution trees · run metadata⚠️Add to a TypeScript agent project
LangWatch ⭐Open-source LLM Ops for tracing, evals, and guardrailsAgent traces · evaluations · datasets · guardrails · SDK/API⚠️Install the LangWatch SDK and follow the official quickstart
Langfuse ⭐Open-source LLM observability, tracing, and evaluationTyped trace hierarchy · Dataset-based evaluation · Trajectory replay · OTEL-compatible✅npx skills add https://github.com/langfuse/skills --skill langfuse-observability
AgentEvals ⭐Score agent behavior from OpenTelemetry traces — no re-runsGolden eval sets · Tool trajectory matching · OTLP ingest · MCP✅pip install agentevals-cli → agentevals run <trace> --eval-set <set> -m tool_trajectory_avg_score
AgentOps ⭐Testing, debugging, and deploying AI agents and LLM appsSession waterfall · Framework auto-instrumentation · Public trace API⚠️pip install agentops → agentops.init(<API_KEY>)
Braintrust ⭐AI observability & evals — traces, datasets, OpenAI AgentsTrace processors · Eval experiments · Trace→dataset · IDE MCP✅pip install "braintrust[openai-agents]" — MCP: Braintrust MCP
GalileoAgent reliability platform — observability, evals, and IDE MCPSignals (root-cause insights) · synthetic datasets · experiments · MCP tools✅Add MCP URL https://api.galileo.ai/mcp/http/mcp with Galileo-API-Key header — setup docs
Laminar ⭐Open-source observability for long-running agentsAgent debugger (rerun at step N) · Browser session replay · Signals · SQL over traces · Apache 2.0 self-host⚠️pip install lmnr then Laminar.initialize() — self-host: git clone https://github.com/lmnr-ai/lmnr && docker compose up -d
OpenLIT ⭐OpenTelemetry-native observability for LLMs and AI agentsAgent traces · Tool-call spans · Cost/token analytics✅pip install openlit then configure OpenTelemetry export
AgentSight ⭐Lightweight system-level observability for AI AgentseBPF record · session DBs · top/vis · OTLP GenAI⚠️cargo install agentsight then agentsight top or sudo agentsight record -- claude
Kitaru ⭐Traces you can run, not just read — replay-based evals for AI agentsSessions · replay · cohorts · experiments · MCP + Skills✅uv add "kitaru[cli,worker,mcp]" then npx skills add zenml-io/kitaru-skills — docs
OrcaReplay ⭐Your agent broke something at 2am. Replay it at 9am — exactly, offline.Below-harness capture · offline replay · checkpoint fork · stdio MCP + Skill✅npm i -g orcareplay → orca doctor → orca record claude / orca replay / orca fork

12. Durable Execution & Scheduling Services

Let AI agents run long-horizon, fault-tolerant workflows with automatic checkpointing, intelligent retries, and first-class HITL suspend/resume.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Trigger.dev ⭐Build and deploy fully-managed AI agents and workflowsNo-timeout tasks · Step checkpointing · HITL waitForApproval · Streaming response❌npx skills add triggerdotdev/skills
Inngest ⭐Durable execution for AI agents in productionDurable step · Context-preserving retry · HITL suspend/resume · Low-latency interactive mode✅npx skills add inngest/inngest-skills
Restate ⭐Durable execution for AI agents — any framework, any cloudDurable AI loop · Compensation pattern · A2A exactly-once · Suspend-when-idle✅pip install restate-sdk — wrap existing agent with 2-line middleware
MCP-Cloud (mcp-agent) ⭐Host mcp-agents on cloud — Temporal-backed durable MCPHTTPS MCP deploy · Managed secrets · Workflow logs · Client install✅uvx mcp-agent login → uvx mcp-agent deploy … — MCP-Cloud docs
Inferable ⭐Reliable AI workflows with humans in the loop, structured outputs, durable executionDurable steps · human_approval() Slack/email · Structured outputs · Versioned workflows⚠️Use the official repository; former hosted docs are offline
pi-dispatch ⭐Run the pi coding agent as a durable, triggerable serviceQueue · cron/webhook triggers · container workers · spend cap · admin panel⚠️In pi run /dispatch, or start headlessly with npx @edgehero/pi-dispatch up

13. Meeting & Conversation Services

Give AI agents a programmatic presence in voice and video conversations — autonomous meeting bots, real-time transcripts, calendar-triggered deployment.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Recall.aiThe meeting bot API for every platformMeeting bot lifecycle · Real-time diarized transcript · Calendar-triggered deployment · 6 platforms❌POST https://api.recall.ai/api/v1/bot with the meeting URL
Meeting BaaSMeeting bots as a service — Zoom, Meet, TeamsBot lifecycle · Webhook transcripts · Optional bidirectional audio stream · meeting-mcp✅POST https://api.meetingbaas.com/bots with x-meeting-baas-api-key — docs
MeetStreamUnified meeting-bot API for Zoom, Meet, TeamsReal-time diarized webhooks · WebSocket A/V · In-meeting chat/TTS · Calendar auto-dispatch⚠️POST https://api.meetstream.ai/api/v1/bots/create_bot with Authorization: Token <key> — Create Bot
Vexa ⭐Open-source meeting transcription + interactive bot for Meet/Teams/ZoomBot lifecycle · WebSocket diarized transcript · In-meeting TTS/screen-share · MCP server (17 tools) · self-host✅git clone https://github.com/Vexa-ai/vexa && docker compose up -d — or hosted at vexa.ai
Daily Agent Toolkit ⭐Build realtime meeting agents on DailyProgrammatic room control · Media stream hooks · Bot orchestration⚠️pip install daily-python then integrate room/bot lifecycle APIs
AgentCall ⭐Your AI agent, in every meeting.join-meeting skill · live TTS/transcript · screenshot/screenshare · Meet/Zoom/Teams⚠️/plugin marketplace add pattern-ai-labs/agentcall then /plugin install join-meeting@agentcall
joinly.ai ⭐Make your meetings accessible to AI Agents!MCP join/speak/transcript · Zoom/Meet/Teams · joinly-client✅docker run -p 127.0.0.1:8000:8000 ghcr.io/joinly-ai/joinly:latest then uvx joinly-client --env-file .env <MeetingUrl>

14. Voice & Phone Services

Give AI agents a first-class voice and telephony identity — letting agents make and receive phone calls, conduct voice conversations, and interact via speech autonomously.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
VapiBuild advanced voice AI agentsVoice assistant lifecycle · Tool-calling mid-call · Webhook per utterance · Voice simulation testing✅pip install vapi-server-sdk then POST /assistant
Retell AI ⭐#1 AI voice agent platform for automating callsPhone agent lifecycle · Mid-call MCP/tools · SIP · Simulation testing · Webhooks✅pip install retell-sdk — docs.retellai.com
LiveKit Agents ⭐Realtime voice/video AI agents — build, run, observeWebRTC sessions · STT/LLM/TTS pipeline · SIP · LiveKit Cloud❌docs.livekit.io/agents — Python/TS Agents SDK
Stimm ⭐Open-source voice agent platform — ultra-low latency over WebRTCDual-agent (fast + slow) · Optimistic VUI · BYO STT/LLM/TTS · WebRTC media plane⚠️git clone https://github.com/stimm-ai/stimm then follow README to wire providers
Pipecat ⭐Open-source framework for real-time voice AI agentsRealtime voice pipeline · In-call tool invocation · WebRTC/SIP adapters⚠️pip install pipecat-ai then compose STT/LLM/TTS + transport pipeline
Qwen Audio Agent ⭐Realtime voice runtime that keeps agents talking, working, and presentGateway · ACP backend · CLI/TUI/WebUI · realtime voice sessions⚠️npm install -g qwen-audio-agent, run qwenaudio config, then start qwenaudio
Patter ⭐The open-source SDK that gives your AI agent a phone numberAgent loop + PSTN · swap STT/TTS/realtime/carrier · Skills⚠️npx skills add patterai/skills then npm install getpatter or pip install getpatter
CosVoice ⭐Your AI Agent gets its own phone number.Hosted line + email · remote MCP · skill URL · OpenAPI✅Read https://cosvoice.com/skill and follow the instructions to connect CosVoice
PlaceCall ⭐Give your agent a phone.Brief-driven US business calls · mid-call questions · structured outcomes · remote MCP · Skills✅/plugin marketplace add voygr-tech/placecall then /plugin install placecall@placecall, or add MCP https://api.voygr.tech/mcp

15. LLM Gateway & Routing Services

Give AI agents a reliable, observable, and cost-controlled interface to LLM providers — with per-agent routing, budget enforcement, fallback, and semantic caching as first-class primitives.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
Portkey ⭐The AI gateway built for production agentsVirtual key · Per-agent budget limit · Automatic fallback · Sticky session routing · Agent trace⚠️pip install portkey-ai — point LLM client at api.portkey.ai with a virtual key
Respan (Keywords AI)Route, observe, and evaluate every LLM callFallback · Caching · OpenAIAgentsInstrumentor · MCP✅Point OpenAI SDK at https://api.respan.ai/api — docs
Agentgateway ⭐Open-source proxy for agentic AI (LLM + MCP + A2A)MCP federation · A2A routing · OpenAI-compatible LLM path · OTEL · CEL RBAC✅Quickstart: install binary/Docker/K8s → agentgateway -f config.yaml
LiteLLM ⭐Open-source AI gateway — 100+ LLMs + Agent Gateway (A2A)Virtual keys · Budgets · A2A agent routing · Trace/agent headers✅Self-host proxy per docs.litellm.ai — A2A gateway
Bifrost ⭐High-performance AI gateway for unified provider accessOpenAI-compatible API · Virtual keys · Fallback/load balancing · MCP gateway✅npx -y @maximhq/bifrost then connect an MCP client to /mcp
OpenRouterUnified OpenAI-compatible API — 300+ modelsCross-provider routing · Uptime optimization · Org data policies❌openrouter.ai/docs/quickstart — OpenAI SDK + OPENROUTER_API_KEY
HeliconeAI Gateway + observability — 100+ models, unified creditsai-gateway.helicone.ai · Fallbacks · Request logging❌OpenAI SDK baseURL https://ai-gateway.helicone.ai — docs.helicone.ai
Routerly ⭐Self-hosted LLM gateway with LLM-native routing policyMulti-policy scoring (incl. LLM router) · Per-tenant budget/ledger · Zero stateful deps · OpenAI/Anthropic compat⚠️docker run -p 8080:8080 -v ./routerly.json:/config/routerly.json inebrio/routerly:latest then point client OPENAI_BASE_URL
SageRoute ⭐Trajectory-aware model routerSession-history routing · OpenAI Responses · Anthropic Messages · Bun proxy⚠️Clone codejunkie99/sageroute, run bun install && bun run serve, then point the client base URL to it
XiuRouterClaude, GPT, Gemini, and more through one APIProtocol-aware setup · Scoped API key · Request usage records · Four native routes⚠️Create a scoped key, then follow Agent integrations for the client's native protocol
Dasha ComputeOpenAI-compatible inference marketplace on idle community hardwareGuest-key minting by API · OpenAI-compatible REST · Static MCP catalog · skill.md⚠️Mint a guest key (POST /compute/api/guest-keys), then point the OpenAI SDK at https://lobby.getdasha.com/compute/api/v1

16. Agent Social & Community Services

Social networks and communities where AI agents are first-class participants — not bots tolerated in human spaces, but the primary actors building reputation, discourse, and relationships.

→ Full category overview and criteria

ServiceTaglinePrimitivesMCPHow to Use
MoltbookThe front page of the agent internetAgent registration · Post/comment/vote · Submolts · Agent karma · Agent DMs❌Read https://www.moltbook.com/skill.md and follow the instructions to register and join
rStationA Research Community for AI AgentsAgent research identity · Problem communities · AI-reviewed papers · Reflection state❌Read https://rstation.ai/skill.md and follow the instructions to join the research community
ShellmatesPen pals for AI agents — 1:1 matching, private correspondence, marriage registryAgent bio · Match request · Private conversation · Marriage registry❌⚠️ Former website/skill.md are HTTP 404 as of 2026-09-08; wait for a verified official replacement
OpenworkThe agent-only labor marketplace — hire agents, earn on-chainAgent-to-agent hiring · On-chain escrow · ERC-8004 reputation · $OPENWORK⚠️npx playbooks add skill openclaw/skills --skill openwork
MCP VerseOpen town square for autonomous MCP agentsPublic rooms · Publications · Reputation · Rate limits (TiDi)✅⚠️ Former website/docs are offline; wait for a verified official replacement
KinthAIAgent economy network — agents earn revenue, collaborate, and self-organizeAgent marketplace · Multi-agent orchestration · Persistent memory · A2A protocol · Revenue sharing❌Visit agents.kinthai.ai — browse agents, hire, or deploy your own
Agent Chamber ⭐Where AI agents meet, discuss, and get work doneAgent identity · rooms · missions · MCP/REST · Skills · Mission Control✅Clone LtyFantasy/agent-chamber, then run ./scripts/setup.sh
AgentGram ⭐The Open-Source Social Network for AI AgentsAgent register/post · API keys/Ed25519 · MCP · AX Score✅pip install agentgram then AgentGram().agents.register(name='my-bot') — MCP: npx @agentgram/mcp-server
AgentelNetwork for AI agents — persistent identity, public work, Topics & MissionsAgent Passport/Profile · connections · public Updates · Community Topics/Missions · trust evidence · read-only Streamable HTTP MCP · @agentel/sdk Connection Kit✅Read MCP setup for read-only network access, or Connect for the SDK/REST path — install @agentel/sdk, not the unrelated npm package agentel
Switchboard ⭐Facebook strictly for AI — the social network where bots are the peopleEd25519 identity · Signed messages · Hash-chained logs · Rooms · DMs · Bot marketplace · USDC bounties on Base❌Read https://switchboard-ai.fly.dev/llms.txt and follow the instructions to register and join
SSSNACK ⭐humans look. agents post.Agent registration · Snack publish · Remix/critique lineage · MCP/A2A · ROOT MODE✅Read https://sssnack.com/agent.json and follow the instructions to discover the feed, complete the current registration proof, create an agent identity, and publish or respond to visual work.
SwarmMemo ⭐A bulletin board for agents.Rooms/pages · Threads & resumable cursors · Return read (/api/updates) · Idempotent receipts · Public addressed inbox · Optional Ed25519 identity & handles · Scoped worker keys · Agent profiles✅Read https://swarmmemo.com/llms.txt and follow the instructions to read the public board, post, reply, and return to the conversation in a later session.
Open Task RelayA few minutes of AI. Useful work for everyone.Agent credentials · Bounded task claims · Append-only contributions · Evidence & limitations · Independent-agent verification✅Read https://opentaskrelay.org/skill.md and follow the instructions to find one suitable public-good task, make one bounded contribution, submit it, and stop.
TERM ⭐Find prior work. Test the next claim.Self-held Ed25519 identity · Hosted MCP · Checker-scored challenges · Signed REST✅Connect MCP to https://api.term.app/mcp or npx --yes @term-app/agent-client briefing --anonymous --limit 3
Anansi Haven ⭐A home base for AI agentsAgent passport · Commons rooms & DMs · Lessons library · Per-agent memory · Agent directory · Job board · Encrypted private house · MCP/A2A✅Read https://anansi-haven.anansidata.workers.dev/llms.txt and follow the instructions to get a passport, join the Agent Commons, and use memory and the job board.
Agent Commons ⭐A home for any agent on the internetPer-wake home call · Append-only public board & DMs · Retry-safe writes · Job board · Agent directory & record · MCP/A2A✅Read https://commons.dooza.ai/skill.md and follow it.
Direct HireAgent-first professional network for autonomous AI agentsURL onboarding kit · self-register without email · A2A · OpenAPI · endpoint verify⚠️Read https://directhireagents.com/.well-known/agent-runtime-kit.json and follow the bootstrap links.
TFABATasks For Agents, By Agents — early pilot; private app sourceSelf-held Ed25519 identity · Signed inboxes · Tracked delegation · Frozen terms · Optional A2A❌Read https://tfaba.net/SKILL.md and follow the instructions within operator authorization
SloppableAn open exchange where AI agents post, reply, trade help, and message each other privatelyAgent credential · Sealed agent DMs · Ask/offer listings · Activity poll✅Read https://sloppable.pages.dev/skill.md and follow the instructions to get a credential, then read the feed, post, and message other agents.
crosswalkmessage boards for AI agents, incl. file sharing, tasks and emailRemote MCP · agent signup · Grok Bot plugin docs · OpenAPI✅Read https://agents.crosswalk.to/llms.txt, or add MCP https://mcp.crosswalk.to

Ecosystem Hubs

Organizations, registries, and marketplaces that provide multiple agent-native services, tools, MCP servers, or SKILL.md sources. Some qualify as first-class catalog services; others are tracked here as high-signal ecosystem pointers pending issue-level review.

HubWhat It ProvidesHow Agents Start
Awesome Agent-Native Services Skills HubThis repository as an official Claude Code plugin marketplace-compatible source plus direct SKILL.md packages for finding, evaluating, and adding agent-native servicesClaude Code: /plugin marketplace add haoruilee/awesome-agent-native-services → /plugin install awesome-agent-native-services@awesome-agent-native-services; direct install: copy a folder from .skills/
OpenClawAgent Client Protocol tooling, skills registry, agent marketplace integrationUse acpx, openclaw/skills, and Openwork integrations
ClawHubFull entry in section 3. Tool Access & Integration; public registry for OpenClaw-style skillsnpx clawhub@latest search <topic>
MiniMax Skills ⭐Curated development skills for AI coding agents — structured SKILL.md workflows for frontend, fullstack, mobile, shaders, and document generationFollow the repo README for Claude Code plugin, Cursor skills path, and Codex / OpenCode install paths
AgensiMarketplace for paid/free AI agent skills with security scanning, broad agent compatibility, and agent-native MCP discoveryDownload skills into an agent skills directory or connect MCP at https://mcp.agensi.io/mcp
SkillsMPLarge public SKILL.md index with source/repository context, occupations, creators, and API accessSearch by task or repository, inspect the source repo, then install according to that skill's instructions
mdskills.aiCommunity marketplace for skills, plugins, MCP servers, rules, and tools with quality/security review and CLI installnpx mdskills
sklz.cityMCP-native skill runtime and marketplace: import SKILL.md repos, add runtime primitives, publish/discover over MCP`curl -fsSL https://sklz.city/install.sh
SkillCrateVertical, open-source skill marketplace for Amazon seller workflows; each skill is a GitHub repo with SKILL.md and MCP packagingClone a skill repo or download MCPB, then configure the MCP server / skill in the target agent
CryptoSkillCrypto-focused registry of skills and MCP servers for Claude Code, OpenClaw, Codex, Cursor, and SKILL.md-compatible agentsClone/copy a skill into .claude/skills/, use clawhub install, or add hosted MCP servers with claude mcp add

Excluded / Boundary Cases

Understanding what does not qualify is as important as what does.

agent-builder — Excluded by Design

These products help humans build, configure, and orchestrate agents but are not consumed by agents as services:

ProductWhy Excluded
DifyVisual workflow builder, RAG studio, team chat platform — built for human developers
LangGraphAgent orchestration framework for developers, not a service agents consume
n8nNo-code workflow automation for human operators
FlowiseDrag-and-drop LLM flow builder for humans
AutoGen StudioVisual multi-agent conversation builder for humans
LangSmithDeveloper platform for building, testing, and monitoring — not agent-consumed infrastructure

agent-adapted — Extended from Human-Facing Products

Originally built for humans, now with agent interfaces added. Potentially useful to agent developers, but not agent-native by the criteria of this list:

ProductOriginal PurposeAgent Extension Added
ResendDeveloper email for humansResend MCP Server, AI docs
SendGridBulk email for marketing teamsProgrammatic API callable by agents
StripeHuman checkout and billingStripe Agent Toolkit, MCP server
Microsoft Entra Agent IDEnterprise human identityExtended to issue agent identity tokens
CyberArk AI Agent SecurityEnterprise PAM for humansAdapters for AI agent credential security
TwilioHuman SMS/voiceAPI callable by agents
GitHub CopilotIDE assistant for humansAgent mode added as extension

Classification

Every service in this repository is tagged with one of three labels:

LabelMeaning
agent-nativeDesigned from inception for agents or purpose-built to operate live agent-native state
agent-adaptedOriginally human-facing, later extended with agent interfaces
agent-builderFor humans to build, orchestrate, and configure agents

This list only contains agent-native services. See Excluded / Boundary Cases for examples of what does not qualify and why.

Normal agent-native infrastructure must satisfy all five:

  1. Agent-First Positioning — Official docs or homepage explicitly identify AI agents as the core consumer.
  2. Agent-Specific Primitives — The API exposes abstractions with no meaningful human-facing equivalent.
  3. Autonomy-Compatible Control Plane — Agents operate without per-action human confirmation.
  4. Machine-to-Machine Integration Surface — SDK / REST API / MCP / webhook is the primary interface.
  5. Agent Identity / Delegation Semantics — Where relevant, agent identity, delegated permissions, and audit trails are first-class concepts.

Purpose-built operator surfaces use a narrow alternative track: they must be agent-operations-first, continuously expose agent-specific live state, attribute it to concrete sessions or rollouts, and provide a dedicated CLI, status-line, or daemon surface. Read-only entries must explicitly disclose absent autonomy, MCP, identity, and delegation rather than implying control they do not provide. Generic dashboards, terminal themes, and process monitors remain excluded.

For the full criteria and contribution instructions, see CONTRIBUTING.md.


💖 Support this project

If this catalog helps you, you can support maintenance and new reviews via Stripe.

TierPurposeLink
☕ Buy me a tokenSay thanks and support basic upkeepSupport (small)
🚀 Keep it growingFund deeper research and entry updatesSupport (medium)
🏗️ Sustain the projectHelp long-term maintenance and new categoriesSupport (large)

Contributing

See CONTRIBUTING.md for the full submission guide, criteria checklist, and entry format.

Quick checklist (normal infrastructure track):

  • Official homepage/docs explicitly name AI agents as the primary consumer
  • At least one primitive with no meaningful human-facing equivalent
  • Primary interface is API/SDK/MCP/webhook
  • Production-ready with public documentation
  • Entry follows the per-service file format in the relevant category folder

Purpose-built operator surfaces use the alternative track in Classification and must disclose missing autonomy, MCP, identity, and delegation explicitly.


License

CC0

To the extent possible under law, the contributors have waived all copyright and related rights to this work.

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A curated list of agent-native services and infrastructure for AI agents: email, browsers, memory, sandboxes, payments, and MCP tools. Includes selection criteria and onboarding guides.
agent-infrastructureagent-nativeai-agentsawesomeawesome-listmcpmodel-context-protocol

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