A side-by-side of two agent auth & tool access for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Toolhouse leads Toolhouse vs Nango by community traction (★ 0 vs ★ 0). Pick Toolhouse for its strengths; pick Nango for its strengths.
| Toolhouse | Nango | |
|---|---|---|
| GitHub stars | ★ 0 | ★ 0 |
| Language | — | — |
| Category | Agent auth & tool access | Agent auth & tool access |
| Best for | ||
| Repository | / | / |
Toolhouse and Nango are both credible choices. By community traction, Toolhouse leads (★ 0). Pick Toolhouse for its strengths; pick Nango for its strengths.
Both are credible agent auth & tool access. By community traction Toolhouse leads (★ 0). Pick Toolhouse for its strengths; pick Nango for its strengths.
Toolhouse is Cloud tool infrastructure and Agent Studio that equip any LLM with hosted, low-latency tools (code exec, web, RAG, MCP) by wrapping your completion in a few lines.. Nango is Open-source integration platform providing OAuth, token refresh and credential storage for 800+ APIs, with each integration exposed to agents over MCP..
Toolhouse has more — ★ 0 vs ★ 0 (live counts).
Often yes — many teams combine agent auth & tool access. Check each tool's docs for interop; they solve overlapping but not identical problems.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.