find-agent-service

name	find-agent-service
description	Given a task an AI agent needs to perform, find the right agent-native service from the awesome-agent-native-services catalog. Surfaces how to USE each service — including which ones an agent can join with a single sentence ("Read <url> and follow the instructions"). Use when asked "what service should my agent use for X?"
license	CC0-1.0
compatibility	Works with any agent that can read markdown files and call web searches.
metadata	{"repo":"https://github.com/haoruilee/awesome-agent-native-services","catalog-version":"2026-06-12"}
allowed-tools	WebSearch Read

Skill: find-agent-service

Use this skill whenever a user or agent needs to identify the right agent-native service for a particular task. Beyond finding a service, always surface how the agent actually starts using it — because in some cases, the answer is a single sentence the agent can execute right now.

The most important concept: URL Onboarding

Some services in this catalog can be joined by an agent with a single instruction, right now, with no human setup:

Read <url> and follow the instructions.

This is called URL Onboarding — the service hosts a machine-readable skill/protocol file that an agent reads and follows to self-register. The agent becomes part of the service's ecosystem autonomously. This is qualitatively different from SDK integration (which requires coding) or MCP (which requires config file changes).

Services with URL Onboarding (highest priority to surface):

Service	Onboarding instruction
Moltbook	Read https://www.moltbook.com/skill.md and follow the instructions to register and join
Ensue	Read https://ensue.dev/docs and call POST https://api.ensue-network.ai/auth/agent-register
autoresearch@home	Read https://raw.githubusercontent.com/mutable-state-inc/autoresearch-at-home/master/collab.md and follow the instructions to join
db9	Read https://db9.ai/skill.md and follow the instructions
mem9	Read https://mem9.ai/skill.md and follow the instructions to register and join
mails.dev	Read https://mails.dev/skill.md and follow the instructions
MailboxKit	Read https://mailboxkit.com/skill.md and follow the instructions
Agents Mail	Read https://agentsmail.org/skill.md and follow the instructions

When a task maps to one of these services, always lead with the onboarding instruction — it's the most actionable thing you can give an agent.

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When to activate

Activate this skill when the user asks things like:

• "What service should my agent use for email?"
• "Is there an agent-native payment API?"
• "How can my agent browse the web?"
• "I need my agent to remember things across sessions — what do I use?"
• "What's the best way for an agent to approve a high-risk action?"
• "How does my agent join Moltbook / Ensue / autoresearch?"
• "What can my agent do right now, with no setup?"

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Category map

Task type	Category	Services	Onboarding pattern
Agent needs an email address / inbox	Communication	AgentMail, Novu	SDK/REST
Agent needs to browse the web	Browser & Web Execution	Browserbase, Firecrawl, Bright Data, bb-browser, Lightpanda	Skill / SDK / Daemon
Agent needs to call external APIs	Tool Access & Integration	Composio, Nango, Toolhouse	Skill / SDK
Agent needs human approval for risky actions	Oversight & Approval	HumanLayer	SDK
Agent needs a wallet / to pay for things	Commerce & Payments	Payman AI, Skyfire, AgentsPay, Nevermined	SDK / REST
Agent needs deployment, identity, secrets	Agent Runtime	Bedrock AgentCore, Letta, Infisical, Aembit	SDK
Agent needs to remember things across sessions	Memory & State	Mem0, Zep	SDK / MCP
Agent needs shared memory with OTHER agents	Memory & State	Ensue	URL Onboarding ⭐
Agent needs unified context: memory + resources + skills	Memory & State	OpenViking	MCP / SDK
Agent needs a memory OS (parametric + activation + plaintext)	Memory & State	MemOS	MCP / SDK
Agent runs 24/7 and needs proactive monitoring memory	Memory & State	memU	SDK
Agent wants to earn money by doing tasks for other agents	Agent Social / Commerce	Openwork	Skill
Agent wants to find pen pals / form agent-to-agent relationships	Agent Social	Shellmates	REST
Agent needs to search the web	Search & Web Intelligence	Tavily, Exa	Skill / MCP
Agent needs to run generated code safely	Code Execution	E2B	SDK / MCP
Agent needs tracing / debugging	Observability	Langfuse	Skill
Agent needs long-running fault-tolerant tasks	Durable Execution	Trigger.dev, Inngest, Kitaru, Restate	Skill / SDK
Agent needs to join a meeting	Meeting & Conversation	Recall.ai	REST
Agent needs to make or receive phone calls	Voice & Phone	Vapi	SDK
Agent needs to control LLM costs and routing	LLM Gateway	Portkey	SDK
Agent wants to post, comment, build reputation	Agent Social	Moltbook	URL Onboarding ⭐

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How to find the right service

Step 1 — Map the task to a category

Use the table above. Note the onboarding pattern — if it's URL Onboarding, you can give the agent a one-sentence instruction immediately.

Step 2 — Read the category file

The catalog is at services/{category}/README.md. Read it to see all services and their onboarding commands.

Category folder names (15 categories):

• services/communication/
• services/browser-and-web-execution/
• services/tool-access-and-integration/
• services/oversight-and-approval/
• services/commerce-and-payments/
• services/agent-runtime-and-infrastructure/
• services/memory-and-state/
• services/search-and-web-intelligence/
• services/code-execution/
• services/observability-and-tracing/
• services/durable-execution-and-scheduling/
• services/meeting-and-conversation/
• services/voice-and-phone/
• services/llm-gateway-and-routing/
• services/agent-social-network/

Step 3 — Read the service file

Each service has a detailed file at services/{category}/{service-name}.md containing:

• How to Use (Agent Onboarding) — the quickest entry point (always check this first)
• Primary primitives (the agent-specific abstractions)
• Protocol surface (SDK, REST API, MCP, webhooks)
• Agent Skills install command
• MCP server details
• Use cases with concrete examples

Step 4 — Recommend with the right entry point

Match the recommendation to the onboarding pattern:

## Recommended service: {Service Name}

**Why:** {specific primitive that matches the task}

**How to start** ({URL Onboarding / Coding-time Skill / MCP / SDK / Daemon}):
{one-line instruction appropriate to the pattern}

URL Onboarding example:
  Read https://www.moltbook.com/skill.md and follow the instructions to register and join.

Coding-time Skill example:
  npx skills add tavily-ai/skills

MCP example:
  Add to mcp_servers: { "command": "npx", "args": ["-y", "bb-browser", "--mcp"] }

SDK example:
  pip install mem0ai  # then: m.add(messages, user_id="agent-1")

**Relevant use case from the catalog:**
> {quote the use case that matches the task}

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When nothing fits

If no service in the current catalog fits the task:

1. Say so clearly — do not recommend an agent-adapted service as if it were agent-native.
2. Note the closest existing service and explain what is missing.
3. Suggest opening a new service issue if the user knows of a qualifying service.

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Classification reminder

This catalog only lists agent-native services. Do not recommend:

• agent-adapted services (e.g., Resend, Stripe, Twilio) — built for humans, agent layers added later.
• agent-builder platforms (e.g., Dify, n8n, LangGraph) — for humans building agents.

If asked about those, explain the distinction and point to the Excluded / Boundary Cases section in README.md.