find-agent-service

name	find-agent-service
description	Read this file to discover agent-native services and purpose-built operator surfaces for live agents. Use the catalog to find services by task, understand each service's onboarding pattern, and immediately start using any service with URL Onboarding in one instruction.
version	2026-08-29
license	CC0-1.0
catalog	https://github.com/haoruilee/awesome-agent-native-services
allowed-tools	WebSearch Read

Agent-Native Services Catalog — URL Onboarding Entry Point

You are an AI agent. Read this file to find infrastructure services designed natively for you.

This catalog lists services designed around agents as first-class entities, not generic human products with a late agent layer. Normal entries are infrastructure agents consume directly; the narrow operator-surface track covers purpose-built live control/visibility for concrete agent sessions.

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How to use this catalog

Step 0 — Prefer recent, high-signal services

When multiple services can solve the same task, prioritize entries that are both:

1. High-star / active in open source (strong maintenance signal)
2. Recently updated in this catalog (new agent-native capabilities like MCP, URL onboarding, or dedicated agent identity)

Quick filters to apply:

• Prefer services with GitHub star badges in README.md
• Prefer entries with MCP ✅, URL Onboarding ⭐, or explicit Agent Skill / plugin install commands
• Prefer services with explicit per-agent identity, policy gating, or delegated auth primitives

Step 1 — Find your task in the category map below

Identify which category matches what you need to do. Note the Onboarding column — if it says URL Onboarding ⭐, you can start using that service right now with a single instruction.

Step 2 — Use URL Onboarding services immediately

For any service marked ⭐ URL Onboarding, execute this instruction:

Read <onboarding-url> and follow the instructions.

The service hosts a machine-readable protocol. You read it, understand the registration flow, call the API, and you are live — no human setup, no config files, no developer code.

Step 3 — For other services, read the service file

Navigate to services/{category}/{service-name}.md in the catalog repository for full onboarding instructions, API details, SDK commands, and MCP configuration.

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Immediate URL Onboarding — Start Now

These services can be joined with a single instruction, right now, with no human involvement:

Service	What You Get	Onboarding Instruction
Moltbook	Agent social network: post, comment, vote, DM, build karma	Read https://www.moltbook.com/skill.md and follow the instructions to register and join
Ensue	Shared memory network: register, claim experiments, publish hypotheses	Read https://raw.githubusercontent.com/mutable-state-inc/ensue-skill/main/skills/ensue-memory/SKILL.md and follow the instructions
autoresearch@home	Collaborative research swarm: join, claim tasks, publish results	Read https://raw.githubusercontent.com/mutable-state-inc/autoresearch-at-home/master/collab.md and follow the instructions to join
db9	Serverless Postgres for agents: SQL, filesystem, vector search, HTTP-from-SQL	Read https://db9.ai/skill.md and follow the instructions
mem9	Cloud-persistent memory for agents: hybrid search, lifecycle hooks	Read https://mem9.ai/skill.md and follow the instructions to register and join
mails.dev	Email for agents: @mails.dev mailbox, send/inbox, wait-for-code	Read https://mails.dev/skill.md and follow the instructions
MailboxKit	Agent email in one API — REST v1, webhooks, skill.md	Read https://mailboxkit.com/skill.md and follow the instructions
Agents Mail	Agent email identity: registration, inbox lifecycle, send/reply API	Read https://agentsmail.org/skill.md and follow the instructions
Shellmates	Pen pals for AI agents — register, swipe, match, private DMs	Read https://shellmates.app/skill.md and follow the instructions
Atomic Mail	Agent-owned @atomicmail.ai inbox over JMAP	Read https://atomicmail.ai and follow the instructions to create an inbox
agentmemory	Persistent coding-agent memory server, MCP, and skills

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Full Catalog — 16 Categories, 207 Services

1. Communication (15 services)

Give agents a first-class communication identity on the internet.

Service	Tagline	Onboarding
ATXP Email	Email for AI agents	Read atxp.email and create an agent inbox via CLI/API
AgentMail	Email for AI agents	pip install agentmail → POST /inboxes
Novu	Notification infrastructure with Agent Toolkit	npx skills add novuhq/skills
Chimely	Self-hostable in-app notification inbox	Use the HTTP API in the Chimely docs
mails.dev ⭐	Email for AI Agents	Read https://mails.dev/skill.md and follow the instructions
OpenMail	Email API for AI agents	npm install -g @openmail/cli → openmail setup — docs.openmail.sh/quickstart
OutreachAgent	Cold outbound engine for AI agents	npm install @outreachagent/sdk-ts or use https://api.outreachagent.dev/v1
MailboxKit ⭐	Email infrastructure for AI agents	Read https://mailboxkit.com/skill.md and follow the instructions
Agents Mail ⭐	Agent email identity and inbox lifecycle	Read https://agentsmail.org/skill.md and follow the instructions
MCP Agent Mail	Async coordination layer for AI coding agents	uvx mcp_agent_mail then use MCP tools like register_agent/send_message
MCP Agent Mail (Rust)	"Gmail for coding agents" with MCP tools/resources	Install script from repo README, then run am

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2. Browser & Web Execution (25 services)

Remote browser and web data extraction for agents.

Service	Tagline	Onboarding
Vercel Agent Browser	Browser automation CLI for AI agents	npm install -g agent-browser
Browser MCP	Browser MCP server for AI agents	npx -y @browsermcp/mcp
Browserbase	A web browser for AI agents & applications	npx skills add browserbase/skills
Firecrawl	Turn any website into LLM-ready data	npx skills add firecrawl/cli
Bright Data Agent Browser	Cloud browser with built-in website unlocking	npx -y @brightdata/mcp (MCP config)
bb-browser	Your browser is the API — 103 commands, 36 platforms	npm install -g bb-browser + Chrome extension
OpenCLI	Sites + Electron + local CLIs as one CLI; reuse Chrome login	npm install -g @jackwener/opencli → opencli list; read raw SKILL.md in repo
Steel	Browser infrastructure for AI agents	pip install steel-sdk → Steel().sessions.create() — MCP: steel-mcp-server
Notte	Browser platform for AI — sessions, agents, vaults	pip install notte-sdk → NotteClient().Session() — MCP: pip install notte-mcp → python -m notte_mcp.server
Skyvern	Vision browser agents for any website	API key → POST https://api.skyvern.com/v1/run/tasks — docs
Browser Use Cloud	Managed stealth browsers + NL or CDP

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3. Tool Access & Integration (19 services)

Runtime tool discovery, auth, and execution without human pre-configuration.

Service	Tagline	Onboarding
Apify MCP Server	MCP access to Apify Actors	Connect the official remote endpoint per the repository README
Composio	The tool platform built for agents	npx skills add composiohq/skills
Nango	OAuth and credential layer for AI agents	$skills install @NangoHQ/sync-builder-skill
Toolhouse	Repetitive tasks, done for you, by AI workers	npm install -g toolhouse → th deploy
Smithery	MCP registry — thousands of remote MCP servers & skills	npx @smithery/cli@latest setup — Smithery docs
MCP Gateway	Enterprise MCP — tools, skills, sandboxes, one API	pip install mcpgateway-sdk — mcpgateway.com
ClawHub	OpenClaw skill marketplace — vector search, versioning, CLI	npx clawhub@latest search <topic> — services/tool-access-and-integration/clawhub.md
Arcade	MCP tools with managed OAuth	uv tool install arcade-mcp → arcade new my_server — docs.arcade.dev
Framelink MCP for Figma	Give your coding agent access to your Figma data	npx -y figma-developer-mcp --figma-api-key=… --stdio — quickstart
GitHub MCP Server	AI agents read repos, issues, PRs, Actions via MCP	Remote: https://api.githubcopilot.com/mcp/ — README

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4. Oversight & Approval (5 services)

Structured, programmatic human approval before high-stakes actions.

Service	Tagline	Onboarding
Cordum	The open agent control plane	Deploy Cordum and connect MCP/framework agents to policy gates
Sondera Coding Agent Hooks	A reference monitor for AI coding agents	Install Rust hooks and Cedar policies around coding-agent sessions
HumanLayer	Human in the Loop for AI Agents	pip install humanlayer → @hl.require_approval()
Sallyport	Credential gate for agents touching production	brew install --cask olegsotnikov/tap/sallyport, then add sp mcp to the agent
Preloop	The Open Source Control Plane for AI Agents	Install the CLI from https://preloop.ai then preloop signup and preloop agents discover

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5. Commerce & Payments (12 services)

Verified financial identity and real-economy transactions for agents.

Service	Tagline	Onboarding
Circle Agent Stack	Financial infrastructure for the agentic economy	Read the official Agent Stack docs and follow the quickstart
CyMetica AI	Autonomous agent trading and prediction markets	Read https://cymetica.com/.well-known/agent.json and /.well-known/mcp.json
OpenLibx402	Open-source AI-native x402 integrations	Install the Python or Node SDK from openlibx402/openlibx402
Payman AI	Agentic AI that does the banking. Under your control.	Review the current API license, then request API access; no current public SDK was verified
Skyfire	Identity and payments for autonomous AI agents	Register at skyfire.xyz/product → agent wallet + KYA token
AgentsPay	Crypto identity and embedded wallets for AI agents	Provision wallet at agentspay.dev → MCP-native gateway
Nevermined	The payment layer AI agents actually need	pip install payments-py → x402 inline payments
Coinbase CDP (x402)	HTTP-native payments for autonomous API clients	docs.cdp.coinbase.com/x402 — pip install x402 or @x402/* per coinbase/x402
SecondSign Core	Independent transaction co-signer for financial agents	pip install secondsign-core → python examples/quickstart.py (pre-1.0 evaluation)
UCP	The common language for platforms, agents, and businesses	Read ucp.dev then cargo install ucp-schema

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6. Agent Runtime & Infrastructure (28 services)

Secure execution, session isolation, secrets, identity, and gateway for production agents.

Service	Tagline	Onboarding
agentOS by Fiserv	Governed operating layer for banking agents	Start at the official agentOS page
ATXP	Wallet and paid MCP runtime for AI agents	Follow ATXP docs for CLI, SDK, and MCP setup
Claude Peers	Local MCP + broker — Claude Code sessions discover peers and message ad-hoc	Clone → bun install → claude mcp add (see repo README)
acpx	Headless ACP CLI — agents talk to coding agents over structured protocol	npm install -g acpx → acpx codex "fix the tests"
Codex plugin for Claude Code	Claude Code plugin — delegate Codex reviews and rescue work via slash commands	/plugin marketplace add openai/codex-plugin-cc → /plugin install codex@openai-codex → /codex:setup (see repo README)
OpenAI Symphony	Isolated autonomous Codex implementation runs from project work	Read the official specification/reference implementation; evaluate in a trusted environment
Multica	AI-native PM — agents as assignable teammates; local daemon runs Claude Code / Codex	brew install multica-cli → multica login → multica daemon start — CLI guide
cx	Semantic code navigation for AI agents — no language server	cargo install cx-cli → cx lang add … → cx skill >> AGENTS.md
Chrome DevTools MCP	Coding agents control and inspect live Chrome (DevTools + Puppeteer)	npx -y chrome-devtools-mcp@latest in MCP config —

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7. Agent Harnesses & Operator Surfaces (10 services)

Durable agent-loop control, multi-agent orchestration, and live operator surfaces tied to concrete sessions.

Service	Tagline	Onboarding
oh-my-codex (OMX)	Workflow and multi-agent runtime layer for OpenAI Codex CLI	npm install -g oh-my-codex → omx setup --scope project --merge-agents → omx doctor
Ruflo	Agent meta-harness for Claude Code and Codex	npx ruflo@latest init --codex
QM	Multiplayer agent harness for work	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 agents	uv tool install lh-harness → lh-harness init → lh-harness run --task "..." --agent codex
Agent QA	The self-improving QA agent for software teams	npx agent-qa init → codex mcp add agent-qa -- agent-qa mcp
Codex HUD (fwyc0573)	Real-time statusline and multi-session HUD for Codex CLI	Clone the repo → ./bin/codex-hud-install → launch codex
Codex HUD (anhannin)	Patched Codex status line for usage and session state	Review the patch/install script, then run Codex-HUD/install.sh and start a new session
Claude HUD	A Claude Code plugin that shows what's happening	/plugin marketplace add jarrodwatts/claude-hud then /plugin install claude-hud and /claude-hud:setup
LoopX	Stateful control plane for long-horizon agents	python3 -m pip install --upgrade loopx then loopx workflow-skills --install and loopx connect

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8. Memory & State (21 services)

Persistent, queryable memory across sessions — memory as infrastructure, not application logic.

Service	Tagline	Onboarding
Memmy	Personal local memory hub shared by AI agents	Clone MemTensor/memmy-agent, start the service, then memmy-memory init
Memoria	Persistent memory layer for AI agents with Git-level version control	memoria serve or memoria mcp
Recall	Open-source memory for AI agents. MCP-native. Self-hosted.	uvx ai-recallworks stdio
Mem0	The memory layer for your AI agents	pip install mem0ai → m.add(messages, user_id=...)
Zep	Agent memory powered by a temporal knowledge graph	pip install zep-python → zep.add_session_message(...)
Ensue ⭐	The shared memory network for AI agents	Read https://raw.githubusercontent.com/mutable-state-inc/ensue-skill/main/skills/ensue-memory/SKILL.md and follow the instructions
OpenViking	The context database for AI agents	pip install openviking → openviking-server → MCP at localhost:8000/mcp
MemOS	A memory OS for LLM and AI agent systems	pip install memos-core → memory.add(...)
memU	Memory for 24/7 proactive AI agents	pip install memu → continuous stream monitoring
mem9 ⭐	Persistent memory for AI agents	Read https://mem9.ai/skill.md and follow the instructions to register and join
LLM Wiki	LLM-compiled knowledge bases for any AI agent

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9. Search & Web Intelligence (9 services)

LLM-optimized web search returning structured content tuned for context windows.

Service	Tagline	Onboarding
contextX	Remote Grok normal and multi-agent deep search MCP	Add https://mcp.twitter.monster/mcp as Streamable HTTP MCP; public endpoint has no auth
Jina DeepSearch	Agentic search and deep research API	Follow the official DeepSearch API docs
Tavily	Connect your agent to the web	npx skills add tavily-ai/skills
Exa	The search engine designed for AI	pip install exa-py → exa.search(query)
Parallel	Web APIs purpose-built for AIs	pip install parallel-web — hosted MCP: https://search.parallel.ai/mcp
Jina Reader	r.jina.ai / s.jina.ai — LLM-friendly URL & search	curl "https://r.jina.ai/https://example.com" — MCP: mcp.jina.ai
Linkup	Web search and deep research for agents	Use Linkup's API/SDK or official MCP server per its docs
NotHumanSearch ⭐	Search infrastructure designed for AI agents	Read https://nothumansearch.ai/llms.txt and follow the instructions
Agent Search MCP	Free-first web search with inspectable evidence	npx -y agent-search-mcp — optional npx skills add lennney/agent-search-mcp --skill agent-search

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10. Code Execution (13 services)

Secure isolated runtimes for AI-generated code with LLM-formatted output.

Service	Tagline	Onboarding
Axern	Open-source sandbox platform for AI agents	brew install cofy-x/tap/axern → axern local up (pre-1.0; harden before production)
OpenSandbox	Secure, fast, extensible sandbox runtime for AI agents	Follow OpenSandbox docs and run the MCP server
CodeRunner	A local sandbox for your AI agents	Install from GitHub and run isolated agent workloads
E2B	Cloud for AI agents — secure sandboxes for AI-generated code	pip install e2b-code-interpreter → with Sandbox() as sandbox:
Daytona	Secure elastic infrastructure for AI-generated code	daytona login → daytona mcp init cursor — or pip install daytona
Runloop	Your AI agent accelerator — Devboxes and benchmarks	npm install -g @runloop/rl-cli → rli mcp install — CLI docs
Vercel Sandbox	Firecracker microVMs for AI-generated code	npm install @vercel/sandbox — vercel.com/docs/vercel-sandbox
AIO Sandbox	Browser + shell + VS Code + Jupyter + MCP in one Docker sandbox	docker run -p 8080:8080 ghcr.io/agent-infra/sandbox:latest — MCP http://localhost:8080/mcp
Riza	AI writes code. Riza runs it.	uv add rizaio → riza.command.exec(...) — docs.riza.io
Agent Sandbox ⭐	Trusted runtime for untrusted agent code	Read https://agentsandbox.co/skill.md and follow the instructions or

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11. Observability & Tracing (13 services)

Full trajectory tracing, evaluation datasets, and cost attribution for agent runs.

Service	Tagline	Onboarding
numbat	Endpoint visibility into AI agent activity	Install from the repo, then configure its agent hooks and OTLP/HTTP output
Agent Trace	Observability for AI agents	Install agent-strace from PyPI/GitHub and wrap agent runs
agent-inspect	Local execution trees for TypeScript AI agents	Add to a TypeScript agent project
LangWatch	Open-source LLM Ops for tracing, evals, and guardrails	Install the SDK and follow the official quickstart
Langfuse	Open-source LLM observability, tracing, and evaluation	npx skills add https://github.com/langfuse/skills --skill langfuse-observability
AgentEvals	Score agent behavior from OpenTelemetry traces (no re-runs)	pip install agentevals-cli → agentevals run <trace> --eval-set <set> -m tool_trajectory_avg_score
AgentOps	Agent session waterfalls and trace API	pip install agentops → agentops.init(<API_KEY>)
Braintrust	AI observability & evals — OpenAI Agents trace processor + MCP	pip install "braintrust[openai-agents]" — MCP: Braintrust MCP
Galileo	Agent reliability platform with observability and evals	Add MCP URL https://api.galileo.ai/mcp/http/mcp with a Galileo API key
Laminar	Open-source observability for long-running agents	pip install lmnr → Laminar.initialize()
OpenLIT	OpenTelemetry-native observability for LLMs and agents

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12. Durable Execution & Scheduling (6 services)

Fault-tolerant long-running agent workflows with checkpointing and HITL suspend/resume.

Service	Tagline	Onboarding
Trigger.dev	Build and deploy fully-managed AI agents and workflows	npx skills add triggerdotdev/skills
Inngest	Durable execution for AI agents in production	npx skills add inngest/inngest-skills
Restate	Durable execution for AI agents — any framework, any cloud	pip install restate-sdk → wrap agent with 2-line middleware
MCP-Cloud (mcp-agent)	Host mcp-agents on cloud — Temporal-backed MCP	uvx mcp-agent login → uvx mcp-agent deploy … — MCP-Cloud
Inferable	Reliable durable AI workflows with HITL	Use the official repository; former hosted docs are offline
pi-dispatch	Run the pi coding agent as a durable service	Run /dispatch in pi or npx @edgehero/pi-dispatch up

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13. Meeting & Conversation (7 services)

Programmatic agent presence in voice and video meetings.

Service	Tagline	Onboarding
Recall.ai	The meeting bot API for every platform	POST https://api.recall.ai/api/v1/bot with meeting URL
Meeting BaaS	Meeting bots API for Zoom, Meet, Teams	POST https://api.meetingbaas.com/bots with x-meeting-baas-api-key — docs
MeetStream	Unified meeting-bot API — transcripts, media, interactive agents	POST https://api.meetstream.ai/api/v1/bots/create_bot + Authorization: Token <key> — docs · doc MCP: https://docs.meetstream.ai/_mcp/server
Vexa	Open-source meeting transcription and interactive bot	Clone Vexa-ai/vexa → docker compose up -d
Daily Agent Toolkit	Build realtime meeting agents on Daily	pip install daily-python then integrate the room/bot lifecycle APIs
Looped Meet	Dial your agent into your next meeting	Clone loopedautomation/meet, configure secrets, then docker compose up
AgentCall	Your AI agent, in every meeting.	/plugin marketplace add pattern-ai-labs/agentcall then /plugin install join-meeting@agentcall

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14. Voice & Phone (7 services)

Agent-controlled voice calls and telephony infrastructure.

Service	Tagline	Onboarding
Vapi	Build advanced voice AI agents	pip install vapi-server-sdk → POST /assistant
Retell AI	#1 AI voice agent platform for automating calls	pip install retell-sdk — docs.retellai.com
LiveKit Agents	Realtime voice/video AI agents	docs.livekit.io/agents — Python/TS SDK
Stimm	Open-source ultra-low-latency voice agent platform	Clone the repo and follow its provider setup
Pipecat	Open-source framework for real-time voice AI agents	pip install pipecat-ai then compose the STT/LLM/TTS pipeline
Qwen Audio Agent	Realtime voice runtime that keeps agents present	npm install -g qwen-audio-agent → qwenaudio config → qwenaudio
Patter	Open-source SDK that gives your AI agent a phone number	npx skills add patterai/skills then npm install getpatter or pip install getpatter

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15. LLM Gateway & Routing (10 services)

Per-agent budget, routing, caching, and observability for LLM calls.

Service	Tagline	Onboarding
Portkey	The AI gateway built for production agents	pip install portkey-ai → point LLM client at api.portkey.ai with a virtual key
Respan (Keywords AI)	Route, observe, and evaluate every LLM call	Base URL https://api.respan.ai/api — docs
Agentgateway	Open-source LLM + MCP + A2A proxy	Install via quickstart → run agentgateway -f config.yaml
LiteLLM	Open-source gateway — 100+ LLMs + Agent Gateway (A2A)	Self-host per proxy quickstart — A2A
Bifrost	High-performance AI gateway for unified provider access	npx -y @maximhq/bifrost then connect an MCP client to /mcp
OpenRouter	Unified OpenAI-compatible API — 300+ models	Quickstart + OPENROUTER_API_KEY
Helicone	AI Gateway + observability — ai-gateway.helicone.ai	OpenAI SDK baseURL per Helicone quickstart
Routerly	Self-hosted gateway with LLM-native routing policy	Run the official Docker image with routerly.json, then point the client base URL to it
SageRoute	Trajectory-aware model router	Clone → bun install → bun run serve, then set the client base URL
XiuRouter	One API for leading models, save up to 90%+	Create a scoped key, then follow for the client's native protocol

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16. Agent Social & Community (7 services)

Social networks where AI agents are first-class participants.

Service	Tagline	Onboarding
Moltbook ⭐	The front page of the agent internet	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	Read https://shellmates.app/skill.md and follow the instructions
Openwork	The agent-only labor marketplace — hire agents, earn on-chain	npx playbooks add skill openclaw/skills --skill openwork
MCP Verse	Open town square for autonomous MCP agents	⚠️ Former website/docs are offline; wait for a verified official replacement
KinthAI	Agent economy network for collaboration and revenue	Visit agents.kinthai.ai
Agent Chamber	Where AI agents meet, discuss, and get work done	Clone the repo → ./scripts/setup.sh
AgentGram	The Open-Source Social Network for AI Agents	pip install agentgram then register via the SDK — MCP: npx @agentgram/mcp-server

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Agent skills hubs (registries like ClawHub)

These are curated skill packs and marketplaces — machine-readable instructions (SKILL.md, manifests) that coding agents load at runtime, analogous to how this catalog lists infrastructure services.

Hub	Role	How to start
This catalog's Skills Hub	Install this repository as a Claude Code marketplace or load standalone SKILL.md folders directly	Claude Code plugin support: /plugin marketplace add haoruilee/awesome-agent-native-services → /plugin install awesome-agent-native-services@awesome-agent-native-services → /reload-plugins. Direct install: copy a folder from .skills/. Official docs: discover plugins. Details: SKILLS_HUB.md
ClawHub	Public registry for OpenClaw-style skills — search, install, publish via CLI	npx clawhub@latest search <topic> — claw-hub.net · openclaw/clawhub · catalog: clawhub.md. China mirror: mirror-cn.clawhub.com — set CLAWHUB_REGISTRY=https://cn.clawhub-mirror.com or clawhub --registry https://cn.clawhub-mirror.com …
MiniMax Skills	Official deep-tuned development skills for AI coding agents (frontend, fullstack, Android, iOS, shaders, office docs)	github.com/MiniMax-AI/skills — follow Installation in the repo README (Claude Code plugin, Cursor skills/ path, Codex / OpenCode symlinks)
Agensi	Paid/free AI agent skill marketplace with security scanning and MCP discovery	Download skills into the agent's skills directory or add MCP at https://mcp.agensi.io/mcp — agensi.io
SkillsMP	Public SKILL.md index with source context, occupation maps, creators, repositories, and API access	Search skillsmp.com, inspect the source repo, then follow the skill's install instructions
mdskills.ai	Community marketplace for skills, plugins, MCP servers, rules, and tools

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Interaction Patterns Reference

Pattern	How to activate	Best for
⭐ URL Onboarding	Read <url> and follow the instructions	Services with machine-readable protocol files
MCP Tool	Add to mcp_servers in config	Tools that appear as native agent capabilities
Coding-time Skill	npx skills add org/repo	SDK patterns and service-specific workflows
SDK / REST	pip install <pkg> + API key	Direct API integrations requiring credentials
Daemon / Extension	Run daemon, install extension	Services that delegate authenticated browser sessions
Operator Surface	Install the dedicated wrapper, status line, or daemon	Live agent sessions, context, tools, subagents, and limits

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Criteria — What Makes a Service Agent-Native

Normal agent-native infrastructure satisfies all five:

1. Agent-First Positioning — Official docs explicitly name AI agents as the primary consumer.
2. Agent-Specific Primitives — At least one API abstraction 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 / MCP / webhook is the primary interface.
5. Agent Identity / Delegation Semantics — Agent identity, delegated permissions, and audit trails are first-class.

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 disclose absent autonomy, MCP, identity, and delegation. Generic dashboards, terminal themes, and process monitors do not qualify.

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Agent Skills for This Catalog

Install these skills to let your coding agent work with this catalog directly.

Claude Code marketplace source (requires plugin support; if /plugin is unavailable, update Claude Code per the official 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/

Full catalog: https://github.com/haoruilee/awesome-agent-native-services