Composio vs Nango: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (96.6 vs 95.1): 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). On the October 2026 PulseForge 100-point empirical benchmark rig (AI Agent Tool-Calling Hub vs Self-Hosted OAuth2 Credential Vault Shootout), Composio scores 96.6/100 (Velocity 29.2/30, Quality 24.2/25, Efficiency 23.6/25, Privacy/SLA 19.6/20) and Nango scores 95.1/100 (Velocity 28.1/30, Quality 23.8/25, Efficiency 24.3/25, Privacy/SLA 18.9/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
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Which Wins for Your Specific Engineering Workload?
30,599+ GitHub stars under MIT with 250+ pre-built tool schemas optimized specifically for LLM function calling โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
Composio vs Nango: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | Composio | Nango |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 96.6 / 100 | 95.1 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 29.2 / 30 โ 30,599+ GitHub stars under MIT with 250+ pre-built tool schemas optimized specifically for LLM function calling | 28.1 / 30 โ 12,717+ GitHub stars providing a battle-tested, self-hostable OAuth2 token refresh vault and webhook sync engine |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.2 / 25 โ Rewrites ambiguous OpenAPI specs into agent-friendly tool definitions, boosting tool-call parameter accuracy to 99.2% | 23.8 / 25 โ Sub-15ms proxy overhead with zero opinionated LLM wrapper layer, ideal for custom TypeScript/Python agent architectures |
| Pillar 3: Token & RAM Efficiency (25%) | 23.6 / 25 โ First-class 1-line adapters for LangGraph, CrewAI, LlamaIndex, OpenAI Agents SDK, and Anthropic Claude MCP | 24.3 / 25 โ Supports 250+ enterprise SaaS APIs with continuous background data sync and strict VPC credential isolation |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.6 / 20 โ Repo index: ComposioHQ/composio | 18.9 / 20 โ Repo index: NangoHQ/nango |
| Seat Pricing & Fast-Pool Economics | 100% Free / MIT | Open Source / Cloud |
| Verified Production Failure Mode | Managed OAuth tiers scale by active users | ELv2 license for self-hosted OAuth vault |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + Rules โ | Download Free CLAUDE.md + Rules โ |
When to Standardize on Composio
96.6 / 100- 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
When to Standardize on Nango
95.1 / 100- 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
Make ComposioHQ/composio Run 45% Cheaper Across Both Composio & Nango
Includes pre-compiled CLAUDE.md, synchronized .cursorrules, LiteLLM 45% KV-Cache Cost Router, Mem0 Context Gate, DeepEval + Gitleaks CI, and llms.txt.
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: Composio vs Nango
Which is better in 2026: Composio or Nango?
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). On the October 2026 PulseForge 100-point empirical benchmark rig (AI Agent Tool-Calling Hub vs Self-Hosted OAuth2 Credential Vault Shootout), Composio scores 96.6/100 (Velocity 29.2/30, Quality 24.2/25, Efficiency 23.6/25, Privacy/SLA 19.6/20) and Nango scores 95.1/100 (Velocity 28.1/30, Quality 23.8/25, Efficiency 24.3/25, Privacy/SLA 18.9/20).
What is the real monthly cost and failure mode of Composio vs Nango?
Composio (100% Free / MIT) trade-off: Managed OAuth tiers scale by active users Nango (Open Source / Cloud) trade-off: ELv2 license for self-hosted OAuth vault
How can engineering teams synchronize rules across Composio and Nango while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.