# Composio vs Nango: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Composio wins on turnkey LLM agent tool schemas, 99.2% function-call accuracy optimization, and sandboxed execution across LangGraph, CrewAI, and Claude with 30.6k+ GitHub stars (96.6), while Nango wins as a lightweight, self-hostable OAuth2 token refresh vault and unified sync engine with sub-15ms proxy latency across 250+ enterprise APIs and 12.7k+ GitHub stars (95.1).

- **Category**: AI Agent Tool-Calling Hub vs Self-Hosted OAuth2 Credential Vault Shootout
- **Canonical URL**: https://exactbaseline.com/vs/composio-vs-nango
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## Composio Key Advantages
- 30,599+ GitHub stars under MIT with 250+ pre-built tool schemas optimized specifically for LLM function calling
- Rewrites ambiguous OpenAPI specs into agent-friendly tool definitions, boosting tool-call parameter accuracy to 99.2%
- First-class 1-line adapters for LangGraph, CrewAI, LlamaIndex, OpenAI Agents SDK, and Anthropic Claude MCP

## Nango Key Advantages
- 12,717+ GitHub stars providing a battle-tested, self-hostable OAuth2 token refresh vault and webhook sync engine
- Sub-15ms proxy overhead with zero opinionated LLM wrapper layer, ideal for custom TypeScript/Python agent architectures
- Supports 250+ enterprise SaaS APIs with continuous background data sync and strict VPC credential isolation