Awesome Agent Native Services

Awesome Agent-Native Services

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

• Browse by category
• 1. Communication services (agent-native email & identity)
• 2. Browser & web execution (remote browsers for agents)
• 3. Tool access & integration (MCP servers & agent tools)
• 4. Oversight & approval (human-in-the-loop for agents)
• 5. Commerce & payments (agent wallets & protocols)
• 6. Agent runtime & infrastructure (sandboxes, gateways, identity)
• 7. Agent harnesses & operator surfaces (multi-agent control and live Codex HUDs)
• 8. Memory & state (long-term memory for LLM agents)
• 9. Search & web intelligence (LLM-ready retrieval)
• 10. Code execution (secure sandboxes for AI-generated code)
• 11. Observability & tracing (agent trajectories & evals)
• 12. Durable execution & scheduling (long-running agent workflows)
• 13. Meeting & conversation (bots & voice rooms for agents)
• 14. Voice & phone (telephony for AI agents)
• 15. LLM gateway & routing (cost control & model routing)
• 16. Agent social & community (MCP-native social layers)
• Ecosystem hubs
• Excluded / boundary cases
• Classification
• Contributing
• License

⭐ 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.

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/cli → openmail setup — docs.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
Caspian	One agent communication identity across human channels	Email/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 agents	Per-agent mailbox · at-email CLI · draft review · Cloudflare routing	⚠️	npx --yes @agentteamhq/email@latest then at-email agent connect
SendRaven	Email infrastructure for AI agents	Awaiting-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

Service	Tagline	Primitives	MCP	How to Use
Hronaut	A 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 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/opencli → opencli 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-sdk → Steel().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-sdk → NotteClient().Session() — MCP: pip install notte-mcp → python -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-sdk → AsyncBrowserUse().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@latest — playwright.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 Run docs — Playwright MCP
Olostep	Web data API for AI agents	Scrape · 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 automation	CDP · fetch --dump markdown · Built-in MCP (lightpanda mcp)	✅	Install binary or Docker → lightpanda serve — MCP guide
Jet Browser	The browser runtime agents can carry	WPE 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, 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
Moli	Structured-first browser engine for AI agents	Semantic 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 agents	nodriver + 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 automation	Per-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 scraping	Rust/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 shell	Background 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

Service	Tagline	Primitives	MCP	How to Use
Account Access	Local delegated account reads for existing agents	Named 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 tasks	Actor discovery/execution · dataset retrieval · x402/Skyfire payments	✅	Connect the official remote MCP endpoint following the repository README
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	✅

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