head to head · open source

Agent-Reach vs CL4R1T4S

Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. CL4R1T4S has 50,059 stars, 10,280 forks, 127 open issues and last shipped 10 days ago. Agent-Reach leads on adoption by 67% (83,525 vs 50,059 stars). Agent-Reach is written in Python under MIT; CL4R1T4S is written in various languages under AGPL-3.0. Agent-Reach has attracted 9% as many forks as stars, CL4R1T4S 21%. Agent-Reach was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Agent-Reach ★ 84K CL4R1T4S ★ 50K category AI & Machine Learning

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Side by side

Agent-Reach CL4R1T4S
GitHub stars ★ 84K ★ 50K
License MIT AGPL-3.0
Written in Python
Last push 2026-09-15 2026-09-10
Forks ⑂ 7.3K ⑂ 10K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 84K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agent-Reach profile →

pick CL4R1T4S if

  • You want the CL4R1T4S feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • You evaluated both and CL4R1T4S fits your workflow better

full CL4R1T4S profile →

About Agent-Reach

Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.

read the full Agent-Reach overview →

About CL4R1T4S

CL4R1T4S is an AGPL 3.0 repository of full extracted system prompts, guidelines and tools from the major AI models and agents — ChatGPT, Claude, Gemini, Grok, Perplexity, Cursor, Lovable, Replit and more — for anyone who wants to know what instructions sit behind the AI systems they use.

read the full CL4R1T4S overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Agent-Reach vs Dify Agent-Reach vs langchain Agent-Reach vs ponytail Agent-Reach vs generative-ai-for-beginners Agent-Reach vs graphify Agent-Reach vs claude-mem Agent-Reach vs ragflow Agent-Reach vs PaddleOCR Agent-Reach vs headroom Agent-Reach vs Mem0 Agent-Reach vs daily_stock_analysis Agent-Reach vs LiteLLM

Frequently asked questions

Is Agent-Reach or CL4R1T4S more popular?

Agent-Reach has 83,525 GitHub stars and CL4R1T4S has 50,059. Agent-Reach has the larger community by that measure.

Are Agent-Reach and CL4R1T4S free?

Both are open source. Agent-Reach is licensed under MIT and CL4R1T4S under AGPL-3.0. Neither carries a licence fee.

What is the difference between Agent-Reach and CL4R1T4S?

Agent-Reach is written in Python and CL4R1T4S in various languages. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Agent-Reach or CL4R1T4S?

Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose CL4R1T4S if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.