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Composio: Function Calling for AI Agents & LLMs (100+ Integrations)
Composio equips AI agents and Large Language Models (LLMs) with seamless access to over 100 high-quality integrations via advanced function calling capabilities, enabling them to interact with external services and data sources.
Python
Added on 2025年6月5日25,446
Stars4,413
ForksPython
LanguageProject Introduction
Summary
Composio is an open-source framework designed to empower AI agents and LLMs by providing them with robust integration capabilities, allowing them to perform actions and retrieve information from over 100 external applications using function calling.
Problem Solved
Existing AI agents and LLMs often lack direct, reliable access to real-world data and actions within external software applications, limiting their practical utility. Composio bridges this gap by providing a standardized, scalable way to connect AI with external services.
Core Features
Extensive Integration Library
Provides a unified interface for over 100 popular applications and services.
Function Calling Interface
Enables AI models to discover and invoke external service functionalities through function calls.
Developer-Friendly API
Designed for developers building AI agents, offering a streamlined way to add external capabilities.
Tech Stack
Python
API Management
Function Calling
Integrations
Open Source
使用场景
Composio is invaluable in any scenario where an AI agent or LLM needs to perform actions, retrieve data, or interact with third-party applications as part of its function.
Task Automation via AI Agent
Details
An AI agent tasked with managing customer interactions can use Composio to create support tickets in Zendesk, send emails via Gmail, or update CRM records in Salesforce.
User Value
Enables AI agents to perform real-world tasks directly within the tools users already use, increasing agent utility and automating workflows.
Real-time Data Access for LLMs
Details
An LLM-powered assistant can use Composio to fetch real-time data from sources like weather APIs, stock market feeds, or project management tools like Notion or Jira to answer user queries or provide updates.
User Value
Allows LLMs to access current, external information beyond their training data, providing more accurate and relevant responses.
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