Composio is a developer-first tool integration platform that connects AI agents to over 250 pre-built integrations across 900+ SaaS applications. It handles the hardest parts of agent-tool interaction — managed authentication (OAuth, API keys), action execution, error handling, and observability — so developers can focus on agent logic. Compatible with OpenAI, LangChain, CrewAI, AutoGen, and LlamaIndex, Composio provides a unified API and MCP gateway for production-grade agent tooling.

Composio's architecture is built on three pillars:

• Tool Catalog — A repository of 10,000+ pre-built, agent-optimized actions across 250+ toolkits (GitHub, Slack, Gmail, Salesforce, Jira, etc.). Actions are curated for LLM consumption with clear descriptions and parameter schemas.
• Unified API / MCP Gateway — A standardized interface that exposes tools via REST API or Model Context Protocol (MCP). Agents fetch available tools by toolkit name and execute actions through a single endpoint.
• AgentAuth — Managed authentication service that handles per-user OAuth flows, token refresh, and credential storage. Entity IDs link executions to specific user credentials, enabling secure multi-tenant deployments.

Composio's AgentAuth eliminates the need to build OAuth flows. Connect apps through the Composio dashboard or API, and the platform manages:

• OAuth 2.0 authorization code flows
• Token refresh and rotation
• Per-user credential isolation via entity IDs
• Support for API keys, bearer tokens, and custom auth schemes

Execute any tool action with a single API call:

• client.actions.execute() for direct programmatic access
• Framework-specific tool providers for seamless agent integration
• Built-in error handling, retries, and rate limiting
• Execution logging and observability dashboard

Composio integrates with all major agent frameworks:

Entities (via entity_id) tie tools and credentials to specific users:

• Each user gets isolated OAuth connections
• Multi-agent systems can operate on behalf of different users
• Audit trails track which entity performed each action

Event-driven triggers listen for changes in connected apps:

• New GitHub issue, Slack message, or email arrival
• Trigger agent workflows automatically
• Webhook-based real-time notifications

from composio_openai import ComposioToolSet, Action
from openai import OpenAI
 
# Initialize clients
openai_client = OpenAI()
composio_toolset = ComposioToolSet()
 
# Get GitHub tools for the agent
tools = composio_toolset.get_tools(
    actions=[Action.GITHUB_CREATE_ISSUE, Action.GITHUB_LIST_REPOS]
)
 
# Create an assistant with Composio tools
assistant = openai_client.beta.assistants.create(
    name="DevOps Agent",
    instructions="You help manage GitHub repositories and issues.",
    model="gpt-4o",
    tools=tools,
)
 
# Create a thread and run
thread = openai_client.beta.threads.create()
message = openai_client.beta.threads.messages.create(
    thread_id=thread.id,
    role="user",
    content="Create a GitHub issue in 'my-org/my-repo' titled 'Fix login bug' with a description of the authentication timeout problem."
)
 
run = openai_client.beta.threads.runs.create(
    thread_id=thread.id,
    assistant_id=assistant.id,
)
 
# Composio handles the tool execution and GitHub API auth
result = composio_toolset.wait_and_handle_assistant_tool_calls(
    client=openai_client,
    run=run,
    thread=thread,
)
print(result)

• Composio GitHub Repository
• Composio Documentation
• Composio Website
• AI Agent Integration Platforms Comparison

• Browser-Use — AI browser automation for agents
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• AutoGen Studio — Visual multi-agent workflow builder