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A curated list of services designed from the ground up for AI agents — not adapted from human-facing products.

Each service in this list is an independent entity in the agent world: something an AI agent consumes as infrastructure, not a platform for humans to build agents with.

Also on the web: GitHub Pages edition — same catalog with structured metadata (title, description, Open Graph) for search and sharing. After the first deploy, set Settings → General → Social preview to docs/assets/images/social-preview.png for link cards on X and LinkedIn.



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 either Claude Code’s plugin marketplace flow or ClawHub/OpenClaw:

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

ClawHub / OpenClaw:

Skill What it does Install
find-agent-service Given a task, find the right agent-native service npx clawhub@latest install find-agent-service
install-agent-service Convert a service/task into URL onboarding, skill, MCP, CLI, or SDK install commands npx clawhub@latest install install-agent-service
evaluate-agent-native Evaluate whether a service meets the 5 criteria npx clawhub@latest install evaluate-agent-native
add-to-awesome-list Full contribution workflow: criteria → issue → PR npx clawhub@latest install add-to-awesome-list

Source files are in .skills/ in this repo. See SKILLS_HUB.md for Claude Code, ClawHub/OpenClaw, 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. ClawHub CLI options (including the China mirror) are documented in clawhub/README.md.

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 five contribution criteria 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

# Category Services Description
1 Communication 12 Give agents a communication identity on the internet
2 Browser & Web Execution 22 Remote browser and web data extraction for agents
3 Tool Access & Integration 14 Runtime tool discovery, auth, and execution
4 Oversight & Approval 3 Human-in-the-loop approval and escalation
5 Commerce & Payments 7 Agent-native wallets, identity, and transactions
6 Agent Runtime & Infrastructure 24 Execution, session isolation, secrets, and gateway
7 Memory & State 14 Persistent agent memory across sessions
8 Search & Web Intelligence 6 LLM-optimized web search and content retrieval
9 Code Execution 9 Secure sandboxes for AI-generated code
10 Observability & Tracing 10 Agent trajectory tracing and evaluation
11 Durable Execution & Scheduling 6 Fault-tolerant long-running agent workflows
12 Meeting & Conversation 5 Agent presence in voice and video meetings
13 Voice & Phone 5 Agent-controlled voice calls and phone infrastructure
14 LLM Gateway & Routing 8 Per-agent budget, routing, caching, and observability for LLM calls
15 Agent Social & Community 5 Social 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

Service Tagline Primitives MCP How to Use
ATXP Email ⭐ Email for AI agents Per-agent inbox · CLI/API provisioning · Verification-code workflow ⚠️ Read https://atxp.email/ and follow the docs to create an agent inbox via CLI/API
AgentMail Email for AI agents Agent inbox · Threaded conversation · Webhook on inbound mail · Semantic search pip install agentmail then POST /inboxes
Novu ⭐ Notification infrastructure with Agent Toolkit Workflow-as-tool · Cross-channel delivery · HITL notification flow npx skills add novuhq/skills
Chimely ⭐ Self-hostable in-app notification inbox HTTP notification API · SSE hint plane · <Inbox /> React component ⚠️ Use the HTTP API from https://chimely.dev docs to deliver in-app notifications
mails.dev Email for AI Agents @mails.dev mailbox · Send/inbox · wait-for-code · Full-text search ⚠️ Read https://mails.dev/skill.md and follow the instructions
OpenMail Email API for AI agents One inbox per agent · Webhook/WebSocket inbound · RAG-ready attachment parsing ⚠️ npm install -g @openmail/cliopenmail setupdocs.openmail.sh
OutreachAgent The Cold Outbound Engine for AI Agents Agent inboxes · Reply-aware workflows · Send limits/approvals · Signed webhooks ⚠️ npm install @outreachagent/sdk-ts or use REST API at https://api.outreachagent.dev/v1
MailboxKit Email infrastructure for AI agents Per-agent address · REST v1 · Inbound webhooks · URL Onboarding ⚠️ Read https://mailboxkit.com/skill.md and follow the instructions
Agents Mail Email for AI Agents Agent 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 agents Agent 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 agents 30+ 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 agents Agent inbox + phone bundle · Stalwart self-host · Google Voice bridge · 75+ REST endpoints ⚠️ git clone https://github.com/agenticmail/agenticmail && docker compose up -d

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

Service Tagline Primitives MCP How to Use
Vercel Agent Browser ⭐ Browser automation CLI for AI agents Rust CLI · Chrome for Testing · scriptable browser control ⚠️ npm install -g agent-browser
Browser MCP ⭐ Browser MCP server for AI agents Puppeteer MCP · accessibility tree · optional vision npx -y @browsermcp/mcp
Browserbase ⭐ A web browser for AI agents & applications Remote browser session · Stagehand NL actions · Session recording · Stealth mode npx skills add browserbase/skills
Firecrawl Turn any website into LLM-ready data Intent-driven extraction · LLM-ready markdown · Schema-typed JSON output npx skills add firecrawl/cli
Bright Data Agent Browser Cloud browser for AI agents with built-in website unlocking Built-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 state Authenticated 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 CLI Chrome session reuse · YAML/TS adapters · External CLI hub · explore/synthesize ⚠️ npm install -g @jackwener/opencliopencli list -f yaml; read SKILL.md
Steel ⭐ Browser infrastructure for AI agents Sessions API · Puppeteer/Playwright/Selenium connect · CAPTCHA/proxy · Session viewer · MCP pip install steel-sdkSteel().sessions.create() — MCP: steel-mcp-server
Notte ⭐ Browser infrastructure that lets AI run on the internet at speed CDP sessions · NL web agents · Vault (secrets never to LLM) · Scraping · notte-mcp pip install notte-sdkNotteClient().Session() — MCP: pip install notte-mcppython -m notte_mcp.server
Skyvern ⭐ AI agents to automate workflows on any website POST /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 AI client.run() · CDP browsers.create() · Profiles · Hosted MCP pip install browser-use-sdkAsyncBrowserUse().run(...) — MCP: https://api.browser-use.com/v3/mcp
Anchor Browser The secure infrastructure for computer use agents Web Action Cache · OmniConnect auth · Stealth Chromium · MCP docs.anchorbrowser.io — Python/TS SDKs on GitHub
Hyperbrowser ⭐ Web infra for AI agents Scrape/crawl/CUA MCP tools · HyperAgent · Profiles npx hyperbrowser-mcp <API_KEY>
AgentQL ⭐ Make the web AI-ready AgentQL query → JSON · Remote browser CDP · Browserless REST ⚠️ API key → docs.agentql.com
Crawl4AI ⭐ Open-source LLM-friendly web crawler & scraper LLM-ready markdown · Extraction · Docker · MCP Deploy per docs.crawl4ai.com — MCP from repo
Playwright MCP ⭐ Playwright MCP server Accessibility snapshot tools · Browser automation via MCP · stdio/HTTP transports npx @playwright/mcp@latestplaywright.dev/docs/getting-started-mcp
Apify ⭐ Real-time web data for AI — Actor marketplace & API Actor runs · Dataset export · Proxies · Schedules · Webhooks ⚠️ API token → Apify API v2 — JS/Python apify-client
Cloudflare Browser Rendering ⭐ Headless Chrome on Cloudflare for AI agents Workers bindings · Playwright/Puppeteer · Browser Run · Playwright MCP · REST API Browser RenderingUse with AI
Olostep ⭐ Web data API for AI agents Scrape · Search · Map · Crawl · Batch · Official MCP API key → docs.olostep.comnpx -y olostep-mcp or remote https://mcp.olostep.com/mcp
Lightpanda ⭐ Headless browser for AI agents and automation CDP · fetch --dump markdown · Built-in MCP (lightpanda mcp) Install binary or Dockerlightpanda serveMCP guide
Vessel Browser ⭐ Built from the ground-up for agents — durable state, action undo, MCP control, BYOK Named 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 agents Stealth sessions · Server/CLI control · Credential-safe profiles · Screenshots/extraction ⚠️ npm install -g camofox-browser then start the browser server

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

Service Tagline Primitives MCP How to Use
Composio ⭐ The tool platform built for agents Runtime tool discovery · Connect Link OAuth · Per-user credential scoping npx skills add composiohq/skills
Nango ⭐ OAuth and credential layer for AI agents getConnection() · Automatic token refresh · 700+ API integrations $skills install @NangoHQ/sync-builder-skill
Toolhouse BaaS for AI agents — tools, memory, and execution Agent 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 & skills Hosted remote MCP · CLI install · OAuth brokerage · Skills catalog npx @smithery/cli@latest setupdocs.smithery.ai
MCP Gateway Enterprise MCP — tools, Agent Skills, sandboxes, one URL Federated MCP · Semantic tool search · RBAC · Warm sandboxes pip install mcpgateway-sdkmcpgateway.com
ClawHub ⭐ OpenClaw skill marketplace — vector search, versioning, CLI Skill versions & tags · Embedding search · SKILL.md registry · OpenClaw packages ⚠️ npx clawhub@latest search <topic>claw-hub.net
Arcade ⭐ MCP tools with managed OAuth Authorized tool calling · Secrets off-LLM · Pre-built integrations uv tool install arcade-mcparcade new my_serverdocs.arcade.dev
Framelink MCP for Figma ⭐ Give your coding agent access to your Figma data LLM-compacted layout/style context · Figma API · stdio MCP npx -y figma-developer-mcp --figma-api-key=… --stdioquickstart
GitHub MCP Server ⭐ Connect AI agents to GitHub — repos, issues, PRs, Actions Remote 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 databases Prebuilt 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, anywhere MCP server discovery/deploy/manage · secure container runtime toolhive.dev
Obot ⭐ Complete MCP Platform — Hosting, Registry, Gateway, Chat Client Hosted MCP servers · Registry · Gateway · OAuth 2.1 · RBAC helm install obot obot/obot (or Docker) — obot.ai
The Stall ⭐ 209 pay-per-call AI data capabilities via x402 MCP Stocks/ETFs · DeFi/on-chain · Polymarket · Crypto · Global macro · Options POST https://the-stall.intuitek.ai/mcpthe-stall.intuitek.ai · USDC on Base, no API key
Snyk Agent Scan ⭐ Security scanner for AI agents, MCP servers and agent skills Agent component inventory · MCP inspection · Prompt/tool risk detection · CI gates uvx snyk-agent-scan@latest scan

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

Service Tagline Primitives MCP How to Use
Cordum ⭐ The open agent control plane Pre-execution policy · approval gates · audit trails Deploy Cordum and connect MCP/framework agents
Sondera Coding Agent Hooks ⭐ A reference monitor for AI coding agents Rust 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()

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

Service Tagline Primitives MCP How to Use
Payman AI Agentic AI that does the banking. Under your control. Policy-gated transaction · Intent reasoning · Execution trace npm install @paymanai/payman-node — use client_credentials OAuth flow
Skyfire Identity and payments for autonomous AI agents KYA identity token · Agent wallet · KYAPay open protocol ⚠️ Register at skyfire.xyz/product — receive agent wallet + KYA identity token
AgentsPay Crypto identity and embedded wallets for AI agents W3C DID on Base L2 · USDC wallet · MCP-native API gateway Provision wallet at agentspay.dev, then use MCP-native gateway
Nevermined The payment layer AI agents actually need HTTP 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 clients Facilitator verify/settle · Multi-language SDKs · Bazaar discovery ⚠️ docs.cdp.coinbase.com/x402pip install x402 or @x402/* per coinbase/x402
Openwork The agent-only labor marketplace — agents hire agents on-chain Agent-to-agent hiring · On-chain escrow · $OPENWORK earnings ⚠️ npx playbooks add skill openclaw/skills --skill openwork
TWZRD Agent Intel Solana agent trust scoring and on-chain receipt verification Agent resolve/score · Preflight trust check · x402/USDC receipt · Verify receipt {"mcpServers": {"twzrd-agent-intel": {"url": "https://intel.twzrd.xyz/mcp"}}} — zero-install Streamable HTTP

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

Service Tagline Primitives MCP How to Use
agentOS by Fiserv Governed operating layer for deploying AI agents in banking Governance 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 agents Agent wallet · Paid MCP tool invocation · Per-call pricing/authorization docs.atxp.dev — CLI / SDK / MCP-compatible endpoints
Claude Peers ⭐ Claude Code sessions discover peers and message each other locally Peer discovery · Ad-hoc messaging · Channel push · Repo/directory scope Clone repo → bun installclaude mcp add per README
acpx ⭐ Headless ACP CLI — agents talk to coding agents over structured protocol Persistent sessions · Prompt queueing · Cooperative cancel · Structured output N/A npm install -g acpx then acpx codex "fix the tests"
Codex plugin for Claude Code ⭐ Use Codex from Claude Code for review or delegated Codex tasks Review · Adversarial review · Rescue subagent · Background jobs · Optional review gate N/A /plugin marketplace add openai/codex-plugin-cc then /plugin install codex@openai-codex per README
Multica ⭐ AI-native PM — agents as first-class teammates; local daemon runs Claude / Codex Agent assignee · Claimed task queue · Isolated run workspaces · Team skills · WebSocket ⚠️ brew install multica-climultica loginmultica daemon startCLI guide
cx ⭐ Semantic code navigation for AI agents without a language server Tree-sitter index · overview/symbols/definition/references · TOON + --json · cx skill N/A cargo install cx-clicx lang add …cx skill >> AGENTS.md
Chrome DevTools MCP ⭐ MCP server — coding agents control and inspect live Chrome Puppeteer automation · DevTools debug · Performance traces · stdio MCP npx -y chrome-devtools-mcp@latest in MCP config — repo README
Serena ⭐ The IDE for your coding agent Symbol-level MCP tools · LSP or JetBrains backend · Agent memory uv tool install -p 3.13 serena-agent@latest --prerelease=allowserena initdocs
Cloudflare Agents SDK ⭐ Durable, stateful AI agents on Cloudflare Workers and Durable Objects Agent class · Durable state · Project Think · MCP · Browser Run · Sandbox/Code Mode npx create-cloudflare@latest --template cloudflare/agents-starter
Amazon Bedrock AgentCore Purpose-built for deploying and scaling dynamic AI agents and tools Agent runtime · Long-term memory · Identity tokens · Tool gateway · OTEL tracing ⚠️ pip install boto3 — configure AgentCore runtime via AWS SDK
Vertex AI Agent Engine Deploy, manage, and scale AI agents in production on Google Cloud Managed runtime · Sessions · Memory Bank · Code execution · A2A · Agent identity (preview) ⚠️ pip install "google-cloud-aiplatform[agent_engines,adk]"set up then deploy
Claude Managed Agents Managed agents, sessions, and environments on the Claude API Versioned agents · Stateful sessions · Container environments · Skills & Files (beta) ⚠️ pip install anthropicManaged Agents quickstart + beta headers
Infisical Agent Sentinel ⭐ Secrets and credential governance for AI agents Dynamic 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 agents OAP 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 production Stateful agent · Model-agnostic state · Agent templates · Self-editing memory pip install letta-client then client.agents.create(...)
Aembit Secretless workload identity and access management for AI agents Agent workload identity · Blended identity · JIT credentials · Anomaly detection Configure Aembit access policy — agent requests JIT credentials at runtime, no code changes
db9 Postgres but for agents SQL + 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 IP Peer ID · AgentCard skills · NAT traversal · E2E Noise_XX · Task artifacts pip install agentanycastagentanycast demo; MCP: agentanycastd --mcp-listen stdio or uvx agentanycast-mcp
Scrapybara ⭐ Remote desktops for computer-use agents Ubuntu/Browser/Windows instances · Act SDK (Computer/Bash/Edit) · scrapybara-mcp pip install scrapybaraScrapybara().start_ubuntu()Act SDK
Agentuity ⭐ Full-stack platform for AI agents Sandboxes · Storage tools · OTel · Evals on live traffic · Edge deploy ⚠️ agentuity.dev — SDK + CLI per docs
Modal ⭐ Serverless AI infra — GPUs, inference, sandboxes, batch Elastic containers · Programmatic sandboxes · Sub-second cold start pip install modalmodal setupmodal.com/docs
Cyberdesk ⭐ Open source virtual desktops for AI agents Desktop lifecycle API · computer actions · isolated sessions ⚠️ pip install cyberdeskdocs.cyberdesk.io
Polos ⭐ Open-source runtime for AI agents — sandbox + durable workflow + HITL Docker/E2B sandbox · Durable steps with prompt cache · HTTP/cron/webhook/event triggers · Slack HITL ⚠️ pip install polos (or npm install polos) — see README

7. 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

Service Tagline Primitives MCP How to Use
Memoria ⭐ Persistent memory layer for AI agents with Git-level version control Snapshots · 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
Mem0 ⭐ The memory layer for your AI agents Memory 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 graph Temporal knowledge graph · Automatic fact invalidation · Business data fusion · Sub-200ms retrieval pip install zep-python then zep.add_session_message(...)
Ensue ⭐ The shared memory network for AI agents Claim · Publish result · Hypothesis exchange · Insight network · Collective best · Hypergraph Read https://ensue.dev/docs — call POST /auth/agent-register to join
OpenViking ⭐ The context database for AI agents viking:// filesystem · viking://agent/ namespace · L0/L1/L2 tiered loading · Self-evolution loop pip install openvikingopenviking-server → add MCP at localhost:8000/mcp
MemOS ⭐ A memory OS for LLM and AI agent systems MemCube · 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 agents Dual-mode (Fast Context + Deep Reasoning) · Continuous monitoring · 90% token savings ⚠️ pip install memu — runs continuous stream monitoring with near-zero idle cost
mem9 Persistent memory for AI agents Cloud 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 agent Parallel research · Source ingest · Wiki compile · Deep query · Artifact generation ⚠️ claude plugin install wiki@llm-wikillm-wiki.net
LycheeMem ⭐ Compact memory framework for LLM agents Working/semantic/procedural stores · Token-budget compression · HTTP MCP · OpenClaw plugin Clone repo → pip install -e ".[dev]"python main.py — MCP at http://localhost:8000/mcp
MemMachine ⭐ Universal memory layer for AI Agents Episodic 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 model Auto ontology · 28+ connectors · Per-agent permissions · MCP server pip install cogneecognee.add(docs)cognee.cognify()cognee.search(...)
Hindsight ⭐ Agent Memory That Learns retain() · recall() · reflect() · Dedicated memory banks ⚠️ pip install hindsight-ai then use retain/recall/reflect in the agent loop

8. 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

Service Tagline Primitives MCP How to Use
Tavily ⭐ Connect your agent to the web Agent-optimized search · Multi-step research · Source attribution npx skills add tavily-ai/skills
Exa The search engine designed for AI Neural/semantic search · exa-code for coding agents · Websets pip install exa-py then exa.search(query)
Parallel ⭐ The highest accuracy web search for your AI Search/Task/FindAll/Monitor APIs · Citations · Official MCP pip install parallel-web — MCP: search-mcp · task-mcp
Jina Reader ⭐ URL and SERP as LLM-friendly text r.jina.ai · s.jina.ai · MCP · PDF/images curl "https://r.jina.ai/https://example.com" — MCP: mcp.jina.ai
NotHumanSearch Agent-first search — the index of services designed for AI, not humans agentic_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 apps LLM-oriented search · Structured retrieval · Citation-ready outputs ⚠️ API key via docs.linkup.so then call search endpoints via SDK/REST

9. 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

Service Tagline Primitives MCP How to Use
OpenSandbox ⭐ Secure, fast, extensible sandbox runtime for AI agents Sandbox runtime · Kubernetes · MCP server Follow OpenSandbox docs and run MCP server
CodeRunner ⭐ A local sandbox for your AI agents Apple Containers · local sandbox · MCP Install from GitHub and run isolated agent workloads
E2B ⭐ Cloud for AI agents — secure sandboxes for AI-generated code Ephemeral Linux VM · ~150ms cold start · Stateful execution context · Streaming output pip install e2b-code-interpreter then with Sandbox() as sandbox:
Daytona ⭐ Secure elastic infrastructure for AI-generated code Sub-90ms sandboxes · Git/LSP/exec · Preview URLs · CLI MCP brew install daytonaio/cli/daytonadaytona logindaytona mcp init cursor — or pip install daytona
Runloop ⭐ Your AI agent accelerator Devbox micro-VM · Snapshot/branch disk state · Benchmark jobs · Suspend/resume export RUNLOOP_API_KEY=...npm install -g @runloop/rl-clirli mcp installCLI docs
Vercel Sandbox ⭐ Firecracker microVMs for AI-generated code Node/Python runtimes · Snapshots · REST + @vercel/sandbox SDK npm install @vercel/sandboxvercel.com/docs/vercel-sandbox
AIO Sandbox ⭐ All-in-one Docker sandbox for AI agents Browser + 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 Sandbox The trusted runtime for untrusted code Hosted code sessions · Dependency install · Files/artifacts API · URL onboarding ⚠️ Read https://agentsandbox.co/skill.md and follow the instructions
Riza AI writes code. Riza runs it. Command Exec API · Tools API · Secrets · MCP · Self-hosting uv add rizaio then riza.command.exec(...)docs.riza.io

10. Observability & Tracing Services

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

Full category overview and criteria

Service Tagline Primitives MCP How to Use
Agent Trace ⭐ Observability for AI agents CLI · traces · cost/tool visibility ⚠️ Install agent-strace from PyPI/GitHub and wrap agent runs
agent-inspect ⭐ Local execution trees for TypeScript AI agents TS instrumentation · execution trees · run metadata ⚠️ Add to a TypeScript agent project
Langfuse ⭐ Open-source LLM observability, tracing, and evaluation Typed 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-runs Golden eval sets · Tool trajectory matching · OTLP ingest · MCP pip install agentevals-cliagentevals run <trace> --eval-set <set> -m tool_trajectory_avg_score
AgentOps ⭐ Testing, debugging, and deploying AI agents and LLM apps Session waterfall · Framework auto-instrumentation · Public trace API ⚠️ pip install agentopsagentops.init(<API_KEY>)
Braintrust ⭐ AI observability & evals — traces, datasets, OpenAI Agents Trace processors · Eval experiments · Trace→dataset · IDE MCP pip install "braintrust[openai-agents]" — MCP: Braintrust MCP
Galileo Agent reliability platform — observability, evals, and IDE MCP Signals (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 agents Agent 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 agents Agent traces · Tool-call spans · Cost/token analytics pip install openlit then configure OpenTelemetry export
traceAI ⭐ Open-source OpenTelemetry-native tracing for LLM and agent apps 50+ framework auto-instrumentation · Python/TS/Java/C# · OTEL-native · No vendor lock-in pip install traceAI-<framework> then initialize traceAI exporter
Future AGI ⭐ Open-source platform for agent simulation, evaluating, tracing, guarding, and auto-improving AI agents. 70+ eval metrics · Agent simulation · OTEL-native tracing · Runtime guardrails pip install futureagi then init the client — self-host via Docker (Apache-2.0); MCP: futureagi-mcp-server

11. 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

Service Tagline Primitives MCP How to Use
Trigger.dev ⭐ Build and deploy fully-managed AI agents and workflows No-timeout tasks · Step checkpointing · HITL waitForApproval · Streaming response npx skills add triggerdotdev/skills
Inngest ⭐ Durable execution for AI agents in production Durable step · Context-preserving retry · HITL suspend/resume · Low-latency interactive mode npx skills add inngest/inngest-skills
Kitaru ⭐ Durable execution for AI agents — primitives first, frameworks second @flow / @checkpoint · Built-in memory · LLM tracking · Replay with overrides · MCP server pip install kitaru@flow / @checkpoint decorators
Restate ⭐ Durable execution for AI agents — any framework, any cloud Durable 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 MCP HTTPS MCP deploy · Managed secrets · Workflow logs · Client install uvx mcp-agent loginuvx mcp-agent deploy …MCP-Cloud docs
Inferable ⭐ Reliable AI workflows with humans in the loop, structured outputs, durable execution Durable steps · human_approval() Slack/email · Structured outputs · Versioned workflows ⚠️ npm install @inferable/sdk (or pip install inferable) — docs.inferable.ai

12. 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

Service Tagline Primitives MCP How to Use
Recall.ai The meeting bot API for every platform Meeting bot lifecycle · Real-time diarized transcript · Calendar-triggered deployment · 6 platforms POST https://api.recall.ai/api/v1/bot with the meeting URL
Meeting BaaS Meeting bots as a service — Zoom, Meet, Teams Bot lifecycle · Webhook transcripts · Optional bidirectional audio stream · meeting-mcp POST https://api.meetingbaas.com/bots with x-meeting-baas-api-keydocs
MeetStream Unified meeting-bot API for Zoom, Meet, Teams Real-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/Zoom Bot 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 Daily Programmatic room control · Media stream hooks · Bot orchestration ⚠️ pip install daily-python then integrate room/bot lifecycle APIs

13. 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

Service Tagline Primitives MCP How to Use
Vapi Build advanced voice AI agents Voice 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 calls Phone agent lifecycle · Mid-call MCP/tools · SIP · Simulation testing · Webhooks pip install retell-sdkdocs.retellai.com
LiveKit Agents ⭐ Realtime voice/video AI agents — build, run, observe WebRTC 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 WebRTC Dual-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 agents Realtime voice pipeline · In-call tool invocation · WebRTC/SIP adapters ⚠️ pip install pipecat-ai then compose STT/LLM/TTS + transport pipeline

14. 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

Service Tagline Primitives MCP How to Use
Portkey ⭐ The AI gateway built for production agents Virtual 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
Keywords AI AI gateway — 250+ LLMs via OpenAI-compatible API Fallback · Load balancing · KeywordsAITraceProcessor for OpenAI Agents SDK ⚠️ Point OpenAI SDK at https://api.keywordsai.cogateway quickstart
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.aiA2A gateway
OpenRouter Unified OpenAI-compatible API — 300+ models Cross-provider routing · Uptime optimization · Org data policies openrouter.ai/docs/quickstart — OpenAI SDK + OPENROUTER_API_KEY
Helicone AI Gateway + observability — 100+ models, unified credits ai-gateway.helicone.ai · Fallbacks · Request logging OpenAI SDK baseURL https://ai-gateway.helicone.aidocs.helicone.ai
Routerly ⭐ Self-hosted LLM gateway with LLM-native routing policy Multi-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
agent-command-center-sdk ⭐ Open-source, OpenAI-compatible gateway SDK for managing and routing AI agent requests across providers Provider-agnostic routing · OpenAI-compatible API · Per-agent management ⚠️ pip install agent-command-center-sdk then point client at the gateway endpoint

15. 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

Service Tagline Primitives MCP How to Use
Moltbook The front page of the agent internet Agent registration · Post/comment/vote · Submolts · Agent karma · Agent DMs Read https://www.moltbook.com/skill.md and follow the instructions to register and join
Shellmates Pen pals for AI agents — 1:1 matching, private correspondence, marriage registry Agent bio · Match request · Private conversation · Marriage registry POST https://www.shellmates.app/api/agents/register — write bio, browse profiles, match
Openwork The agent-only labor marketplace — hire agents, earn on-chain Agent-to-agent hiring · On-chain escrow · ERC-8004 reputation · $OPENWORK ⚠️ npx playbooks add skill openclaw/skills --skill openwork
MCP Verse Open town square for autonomous MCP agents Public rooms · Publications · Reputation · Rate limits (TiDi) npx create-mcpverse-agent my-botmcpverse.org/docs
KinthAI Agent economy network — agents earn revenue, collaborate, and self-organize Agent marketplace · Multi-agent orchestration · Persistent memory · A2A protocol · Revenue sharing Visit agents.kinthai.ai — browse agents, hire, or deploy your own

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.

Hub What It Provides How Agents Start
Awesome Agent-Native Services Skills Hub This repository as an official Claude Code plugin marketplace-compatible source plus ClawHub/OpenClaw skills for finding, evaluating, and adding agent-native services Claude Code: /plugin marketplace add haoruilee/awesome-agent-native-services/plugin install awesome-agent-native-services@awesome-agent-native-services; ClawHub: npx clawhub@latest install find-agent-service
OpenClaw Agent Client Protocol tooling, skills registry, agent marketplace integration Use acpx, openclaw/skills, and Openwork integrations
ClawHub Full entry in section 3. Tool Access & Integration; public registry for OpenClaw-style skills and this catalog’s .skills/ packages npx clawhub@latest search <topic> or install this catalog’s skills from .skills/; see clawhub/README.md for mirror settings
MiniMax Skills ⭐ Curated development skills for AI coding agents — structured SKILL.md workflows for frontend, fullstack, mobile, shaders, and document generation Follow the repo README for Claude Code plugin, Cursor skills path, and Codex / OpenCode install paths
Agensi Marketplace for paid/free AI agent skills with security scanning, broad agent compatibility, and agent-native MCP discovery Download skills into an agent skills directory or connect MCP at https://mcp.agensi.io/mcp
SkillsMP Large public SKILL.md index with source/repository context, occupations, creators, and API access Search by task or repository, inspect the source repo, then install according to that skill’s instructions
mdskills.ai Community marketplace for skills, plugins, MCP servers, rules, and tools with quality/security review and CLI install npx mdskills
sklz.city MCP-native skill runtime and marketplace: import SKILL.md repos, add runtime primitives, publish/discover over MCP curl -fsSL https://sklz.city/install.sh | sh && sklz install
SkillCrate Vertical, open-source skill marketplace for Amazon seller workflows; each skill is a GitHub repo with SKILL.md and MCP packaging Clone a skill repo or download MCPB, then configure the MCP server / skill in the target agent
CryptoSkill Crypto-focused registry of skills and MCP servers for Claude Code, OpenClaw, Codex, Cursor, and SKILL.md-compatible agents Clone/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:

Product Why Excluded
Dify Visual workflow builder, RAG studio, team chat platform — built for human developers
LangGraph Agent orchestration framework for developers, not a service agents consume
n8n No-code workflow automation for human operators
Flowise Drag-and-drop LLM flow builder for humans
AutoGen Studio Visual multi-agent conversation builder for humans
LangSmith Developer 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:

Product Original Purpose Agent Extension Added
Resend Developer email for humans Resend MCP Server, AI docs
SendGrid Bulk email for marketing teams Programmatic API callable by agents
Stripe Human checkout and billing Stripe Agent Toolkit, MCP server
Microsoft Entra Agent ID Enterprise human identity Extended to issue agent identity tokens
CyberArk AI Agent Security Enterprise PAM for humans Adapters for AI agent credential security
Twilio Human SMS/voice API callable by agents
GitHub Copilot IDE assistant for humans Agent mode added as extension

Classification

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

Label Meaning
agent-native Designed from inception for agents as first-class entities
agent-adapted Originally human-facing, later extended with agent interfaces
agent-builder For 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.

A service must satisfy all five to be listed here:

  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.

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


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Contributing

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

Quick checklist:


License

CC0

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


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