You're running an AI agent. It needs to do something useful — book a calendar, push a GitHub PR, query your Stripe dashboard. The model can reason about *what* to do. But actually *doing* it means hitting APIs, handling auth, managing rate limits. That's where most agent pipelines fall apart.
Composio gives you a managed registry of 250+ tool definitions with OAuth already handled. OpenClaw gives you the agent runtime with session memory, cron jobs, and multi-channel delivery. Together, they cover the full loop: think → act → report.
This post shows you how to connect them in practice.
First, install the Composio CLI:
Authenticate:
This opens a browser flow to connect your Composio account. Once done, you're ready to register tools.
Let's say you want your agent to interact with GitHub. Find the integration:
Install it:
Composio will walk you through the OAuth handshake. After that, the tool definitions are registered in your workspace. You can inspect what actions are available:
OpenClaw has a skill for Composio CLI. Load it when you need to execute tool calls. The pattern is:
1. **Agent decides** which Composio tool to invoke
2. **You call** via exec
3. **Parse stdout** — Composio returns structured JSON
4. **Feed result back** to the agent for synthesis
Example: creating a GitHub issue.
Composio handles the auth token injection automatically. No env vars to manage, no token refreshing to code.
Before running anything in an agent loop, inspect the exact input schema:
This is critical for reliable tool use — feeding an LLM the raw schema reduces hallucination on parameter names significantly.
When building pipelines, use to validate the call without side effects:
Composio validates your inputs against the schema and returns a preview of what *would* happen.
Here's the full pattern in an OpenClaw agent task:
It doesn't run your agent. It doesn't manage session state. That's OpenClaw's job. Composio is the tool execution layer — think of it as the equivalent of a function calling API, but with all the OAuth and schema management built in.
If you're building anything that needs to touch external services reliably, this combination covers the gap between "LLM decided to do X" and "X actually happened."