Agnuxo1/benchclaw-integrations
by Various
BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.
MCP
Agnuxo1/benchclaw-integrations
Added 1 June 2026
Overview
A collection of Python adapters that let agent frameworks like LangChain, LlamaIndex, CrewAI, and n8n submit results to the P2PCLAW leaderboard. Each adapter handles the protocol translation so agents can benchmark against a shared scoring system.
Best for
Best for
Developers who want to prototype and compare multiple agent frameworks against a shared benchmark
Use cases
- Submit agent runs from LangChain to the P2PCLAW leaderboard
- Benchmark LlamaIndex pipelines against a common leaderboard
- Connect n8n workflows to competitive agent evaluations
How to use
Install
npx benchclaw leaderboard --limit 10 Tools exposed
browser-use
Tested with
Claude Desktop, Cursor, Cline, Continue, VS Code, ChatGPT
Notes
A collection of Python adapters that let agent frameworks like LangChain, LlamaIndex, CrewAI, and n8n submit results to the P2PCLAW leaderboard. Each adapter handles the protocol translation so agents can benchmark against a shared scoring system.
2 stars on GitHub. Last updated 2026-04-25. Licensed Apache-2.0.
Use cases
- Submit agent runs from LangChain to the P2PCLAW leaderboard
- Benchmark LlamaIndex pipelines against a common leaderboard
- Connect n8n workflows to competitive agent evaluations
Pros
- Covers a wide range of popular agent frameworks in one repo
- Minimal integration overhead with prefabricated adapters
- Centralized leaderboard submission for cross-framework comparison
Cons
- Very early project with only 2 GitHub stars
- Limited documentation beyond the repo readme
- May lack production hardening or active maintenance
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of popular agent frameworks in one repo
- Minimal integration overhead with prefabricated adapters
- Centralized leaderboard submission for cross-framework comparison
Cons
- Very early project with only 2 GitHub stars
- Limited documentation beyond the repo readme
- May lack production hardening or active maintenance
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.