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AI Frameworks · ComposioHQ

composio

Composio is an open-source SDK (TypeScript and Python) that provides 1000+ pre-built tool integrations, authentication, and context management for building AI agents. It integrates with major LLM frameworks (OpenAI, Anthropic, LangChain, LlamaIndex) and helps developers quickly connect agents to external APIs and services.

Source: GitHub — github.com/ComposioHQ/composio
29.1k
GitHub stars
4.6k
Forks
TypeScript
Primary language
MIT
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
RepositoryComposioHQ/composio
OwnerComposioHQ
Primary languageTypeScript
LicenseMIT — OSI-approved
Stars29.1k
Forks4.6k
Open issues69
Latest release@composio/[email protected] (2026-06-27)
Last updated2026-07-08
Sourcehttps://github.com/ComposioHQ/composio

What composio is

Composio offers a multi-framework provider abstraction layer with prebuilt toolkit connectors, function-calling support, and managed authentication. It exposes tool discovery, context management, and a sandboxed workbench through TypeScript and Python SDKs, reducing boilerplate when building agent-based systems.

Quickstart

Get the composio source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/ComposioHQ/composio.gitcd composio# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Rapid Multi-Provider Agent Development

Teams building agents that need to integrate with 50+ SaaS platforms (CRM, email, calendar, ticketing) can leverage pre-integrated toolkits rather than writing custom API clients, accelerating time-to-market.

Framework-Agnostic Agent Orchestration

Organizations standardizing on different LLM frameworks (OpenAI vs. Anthropic vs. open-source) can use Composio as a unified tool abstraction layer, avoiding vendor lock-in and simplifying framework migrations.

Authentication & Token Management at Scale

SaaS platforms providing agent capabilities to end users can delegate OAuth, credential storage, and permission handling to Composio, reducing security burden and operational complexity.

Implementation considerations

  • API key management: Composio requires your LLM provider key (OpenAI, Anthropic, etc.) and manages Composio API keys; ensure secure storage and rotation policies are in place.
  • Provider initialization: Choose the correct provider package (@composio/openai, @composio/anthropic, @composio/langchain, etc.) early; mixing providers in a single agent requires careful testing.
  • Toolkit discovery and user context: Calls to composio.tools.get() should be scoped to user_id or session context to ensure proper OAuth token isolation and multi-tenant safety.
  • Fallback handling: Some pre-built toolkits may lag upstream API changes; monitor toolkit documentation and have a plan to report or patch broken integrations.
  • SDK version alignment: TypeScript and Python SDKs may diverge; if using both in a system, pin versions and test end-to-end workflows across language boundaries.

When to avoid it — and what to weigh

  • Fully Custom or Proprietary Tool Ecosystems — If your agent needs to call highly specialized, closed-source, or custom internal APIs not in the 1000+ toolkit catalog, you will need to build custom integrations or adapters, reducing the value of the platform.
  • Minimal External API Dependencies — Projects that only interact with 1–2 well-documented APIs may find the overhead of Composio SDK integration and API key management unnecessary compared to direct HTTP client libraries.
  • Strict Air-Gapped or On-Premises Deployments — The platform appears to require backend connectivity (api.composio.dev) for OpenAPI spec pulling and tool discovery; fully offline or isolated deployments may face friction.
  • High-Volume Real-Time Low-Latency Systems — Additional abstraction layers and managed authentication can introduce latency; systems with strict <100ms tail-latency requirements should benchmark Composio's overhead carefully.

License & commercial use

MIT License (permissive open-source). Allows unrestricted use, modification, and distribution for any purpose (commercial or non-commercial) provided the original license and copyright notice are preserved.

MIT is a permissive OSI license. Commercial use is permitted; however, review Composio's Terms of Service, API usage policies, and any rate limits or commercial support tiers on composio.dev. The license itself does not restrict commercial deployment, but the hosted backend service may have separate commercial terms.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityLow
DEV.co fitStrong
Assessment confidenceHigh
Security considerations

Composio manages OAuth credentials and API keys on behalf of users; review their infrastructure security posture, key rotation policies, and data residency commitments independently. Multi-tenant context isolation (via user_id) is critical—ensure agents are scoped correctly to prevent token leakage across users. The project is open-source, allowing security audits of the SDK code, but the backend service security posture is not documented here. Sanitize and validate tool outputs before passing to downstream systems.

Alternatives to consider

LangChain Tool Ecosystem

LangChain's integration catalog and tool abstraction also support multiple LLM providers; however, Composio claims 1000+ toolkits vs. LangChain's smaller set, and offers built-in auth/context management, making it more specialized for tool-heavy agents.

Anthropic's Tool Use Protocol

Anthropic provides native tool_use support in Claude; if you standardize on Claude alone and only need a few integrations, this reduces external dependencies. Composio adds value if you need multi-provider flexibility or 50+ integrations.

Zapier/Make.com APIs

Zapier and Make offer no-code/low-code automation with 6000+ integrations; if building for non-technical users or requiring visual workflows, these platforms may be more appropriate. Composio is developer-centric and code-first.

Software development agency

Build on composio with DEV.co software developers

Composio's 1000+ pre-built integrations and multi-framework support let you focus on agent logic instead of API plumbing. Evaluate its fit for your use case, audit the backend service terms, and run a proof-of-concept with your target LLM framework.

Talk to DEV.co

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composio FAQ

Do I need a Composio API key?
Yes. The SDK uses composio.dev backend for OpenAPI specs, tool discovery, and auth management. API keys are required unless you self-host the backend (not documented in the provided data).
Can I use Composio with my own LLM provider?
Composio integrates with major providers (OpenAI, Anthropic, LangChain, LlamaIndex, Google Gemini, etc.). For unlisted providers, you can build a custom provider; see docs.composio.dev/sdk/typescript/custom-providers.
How do I handle multi-user OAuth with Composio?
Use the user_id parameter in composio.tools.get() to scope tools and tokens per user. Composio manages OAuth flows and token storage; ensure your user context isolation is correct to prevent token leakage.
Is Composio suitable for production deployment?
MIT license and active maintenance suggest production readiness; however, you must evaluate Composio's backend SLA, security posture, and commercial support independently. The SDK itself is open-source and auditable.

Software developers & web developers for hire

Adopting composio is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate ai frameworks software in production.

Ready to accelerate AI agent development?

Composio's 1000+ pre-built integrations and multi-framework support let you focus on agent logic instead of API plumbing. Evaluate its fit for your use case, audit the backend service terms, and run a proof-of-concept with your target LLM framework.