composio

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

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About composio

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

Composio is a powerful open-source platform designed to supercharge AI agent development by seamlessly integrating over 1,000 toolkits and APIs. It simplifies the entire workflow—from intelligent tool search and context management to secure authentication and sandboxed testing—enabling developers to build sophisticated agents that reliably convert user intent into actionable outcomes. Unique for its support of TypeScript, JavaScript, and Python, along with features like function calling, LLM operations (LLMOps), and compatibility with frameworks like MCP and GPT-4, Composio stands out by reducing integration complexity. Hosted on GitHub and offered completely free, it provides a robust, developer-friendly environment to accelerate the creation of intelligent, tool-using AI applications without the typical overhead.

Common Use Cases

  • Build AI agents that automate complex workflows by connecting multiple external tools and APIs seamlessly.
  • Develop intelligent chatbots capable of executing real-world actions like scheduling or data retrieval through integrated toolkits.
  • Create custom coding assistants that leverage extensive tool libraries to generate, test, and deploy code efficiently.
  • Implement agentic AI systems for business automation, handling tasks from customer support to internal process management.
  • Enable rapid prototyping of AI-driven applications with a sandboxed workbench for safe testing and iteration before deployment.
★★★½☆
3.6
27,624 users
Trending
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Key Features

  • TypeScript
  • Open Source
  • GitHub Hosted

How to Get Started

1. Visit the Composio GitHub repository and clone the project to your local machine. 2. Install dependencies using npm or pip based on your preferred language (TypeScript/JavaScript or Python). 3. Explore the provided examples to understand tool integration and start building your first AI agent with the sandboxed workbench. 4. Customize by adding specific toolkits from the extensive library and test your agent's ability to turn intent into action.

Usage Statistics

Active Users

27,624

API Calls

4,504,000

Additional Information

Category

Code Assistant

Pricing

Free

Last Updated

4/3/2026

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