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Composio
AI ToolsFreemiumConnect AI agents to 1,000+ tools with managed auth, sandboxed execution and observability — in under 5 minutes.
84/100
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Composio is the integration layer for AI agents — managed OAuth, 1,000+ pre-built toolkits and a sandboxed runtime that work with any framework. The free tier covers 20K tool calls a month and the paid Growth plan starts at $29.
Composio is an integration platform that gives AI agents authenticated access to 1,000+ third-party apps — GitHub, Slack, Gmail, Notion, Jira, Linear, Stripe, Salesforce and the rest — through a single SDK that handles OAuth, schema validation, sandboxed execution and observability. We rate it 84/100 — the right pick for engineering teams that want their LangChain, CrewAI, OpenAI Agents or LangGraph stacks to actually do useful things in production without building 200 connectors in-house.
Composio is an open-source integration layer purpose-built for AI agents. Where Zapier and Make sit between humans and apps, Composio sits between an LLM and the tools you want it to call — managing the OAuth dance, normalizing tool schemas, executing actions inside isolated sandboxes and emitting traces so you can debug what your agent actually did. It was founded in by IIT Bombay alumni Soham Ganatra (CEO) and Karan Vaidya (CTO), who first met at a Physics Olympiad camp before becoming roommates and, later, co-workers building integration plumbing for engineering teams.
The bet: every AI agent that does anything outside the model — file a Jira ticket, send a Slack message, query Salesforce, open a GitHub PR — needs the same five things (auth, scopes, schemas, retries, audit). Doing those once for 1,000 apps is a multi-year platform problem, and most agent teams don't want to own it. Composio raised a $25M Series A from Lightspeed Venture Partners in 2025 (after a $4M seed from Y Combinator, Khosla Ventures and Lightspeed in 2024), and the company says it's now growing through Y Combinator-batch startups like Den, Airweave and Dash that ship agentic products on top of it.
composio.tools.get(userId, { toolkits: ['GITHUB'] }) returns the right shape for whichever framework you imported.On Reddit's r/LangChain, r/LocalLLaMA and r/mcp, Composio is consistently the recommended answer when someone asks "how do I let my agent actually do things?" — engineers praise the generous free tier (20K tool calls is enough to ship a real product) and how quickly OAuth-heavy integrations like Gmail, Salesforce or HubSpot stand up. On Product Hunt, the launch picked up several hundred upvotes and most comments single out the framework breadth as the differentiator versus building per-tool wrappers.
The complaints are real and worth knowing. A March 2026 Trustpilot review called the platform "unstable" and said several toolkits didn't behave as advertised, and on G2 the recurring criticism is that documentation is patchy for the longer-tail integrations — when a tool breaks, you often end up reading the SDK source. Some users also note that the abstraction can be heavy if you only need two or three integrations: at that scale, hand-rolled API calls are simpler and cheaper.
Composio runs a usage-based freemium model. The free tier is unusually generous for an infrastructure product, and overage pricing is published on the site rather than gated behind sales.
| Plan | Price | Tool Calls / Month | Support | Overage |
|---|---|---|---|---|
| Hobby | $0 | 20,000 | Community | — |
| Growth | $29/mo | 200,000 | $0.299 / 1K calls | |
| Scale | $229/mo | 2,000,000 | Slack (1K+/mo) | $0.249 / 1K calls |
| Enterprise | Custom | Unlimited | Dedicated SLA | Negotiated |
Premium toolkits (a small number of high-cost integrations like LinkedIn or Apollo) bill at roughly 3× the standard rate. Enterprise adds VPC/on-prem deployment, SOC 2 reports, custom SSO and 99.99% uptime SLAs.
Best for: startups and engineering teams shipping AI agents that need to touch real third-party APIs — sales-ops agents, support copilots, internal devtools agents, RAG systems with write actions, anyone using OpenAI Agents SDK, LangGraph or CrewAI in production. Especially valuable when your product is multi-tenant and you'd otherwise be building per-customer OAuth flows for every integration.
Not ideal for: projects that only need 2–3 fixed integrations (just call the APIs directly), teams that need a no-code UI for non-engineers (use Zapier, Make or n8n), or anyone whose compliance posture absolutely requires that no third party ever sees an OAuth callback.
Pros:
Cons:
Pipedream Connect — older, larger workflow company that pivoted into agent integrations; broader connector library but a heavier control plane. Nango — open-source, focuses tightly on auth and unified APIs rather than tool calling; better if you only want managed OAuth without the agent SDK. Anthropic and OpenAI native MCP servers — fine if you only target Claude or ChatGPT and your tool count is small. Build your own — viable for 2–3 integrations, painful at 20+. We've previously reviewed Inngest for durable workflows and Trigger.dev for background jobs, both of which complement (not replace) Composio.
If your AI agents need to do anything beyond chat — and at this point most do — Composio is the fastest path from prototype to production. The free tier is wide enough to ship something real, the framework support is broader than any competitor, and the open-source SDK means you can audit exactly what your agent is sending to third parties. The documentation gaps and occasional flaky toolkit are the cost of moving this fast at this scale, and they're worth eating versus building 1,000 connectors yourself. Engineering teams shipping agentic products in 2026 should default to Composio and only build custom when they hit a specific limit. 84/100 — solidly in the "Very Good" tier and our top pick in this category.
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