head to head · open source

Agent-Reach vs outlines

Agent-Reach has 82,763 GitHub stars, 7,236 forks, 137 open issues and last shipped 3 days ago. outlines has 15,825 stars, 880 forks, 166 open issues and last shipped 9 days ago. Agent-Reach leads on adoption by 423% (82,763 vs 15,825 stars). Agent-Reach is written in Python under MIT; outlines is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, outlines 6%. 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 ★ 83K outlines ★ 16K category AI & Machine Learning

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Side by side

Agent-Reach outlines
GitHub stars ★ 83K ★ 16K
License MIT Apache-2.0
Written in Python Python
Last push 2026-09-15 2026-09-09
Forks ⑂ 7.2K ⑂ 880
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 83K 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 outlines if

  • You want the outlines feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and outlines fits your workflow better

full outlines 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 outlines

Outlines is a Python library for structured generation with large language models, released under the Apache 2.0 license and maintained by the team at .txt. It lives in the AI and machine learning ecosystem, specifically among AI development platforms and structured generation tooling, and it is distributed through PyPI. The project describes itself as a way to guarantee structured outputs during generation rather than repairing them afterward, and its topic list places it alongside work on context free grammars, regular expressions, JSON, prompt engineering, and symbolic AI.

read the full outlines overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K 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 outlines more popular?

Agent-Reach has 82,763 GitHub stars and outlines has 15,825. Agent-Reach has the larger community by that measure.

Are Agent-Reach and outlines free?

Both are open source. Agent-Reach is licensed under MIT and outlines under Apache-2.0. Neither carries a licence fee.

What is the difference between Agent-Reach and outlines?

Agent-Reach is written in Python and outlines in Python. 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 outlines?

Choose Agent-Reach if you want the larger community (82,763 stars) or its MIT licence terms. Choose outlines if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.