head to head · open source

Agent-Reach vs pyspur

Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. pyspur has 5,785 stars, 428 forks, 41 open issues and last shipped 3 months ago. Agent-Reach leads on adoption by 1,344% (83,525 vs 5,785 stars). Agent-Reach is written in Python under MIT; pyspur is written in TypeScript under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, pyspur 7%. 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 pyspur ★ 5.8K category AI & Machine Learning

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Side by side

Agent-Reach pyspur
GitHub stars ★ 84K ★ 5.8K
License MIT Apache-2.0
Written in Python TypeScript
Last push 2026-09-15 2026-06-29
Forks ⑂ 7.3K ⑂ 428
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 pyspur if

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

full pyspur 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 pyspur

PySpur is an open source visual playground for building, testing, and deploying AI agents, aimed at AI engineers who want to iterate on agentic workflows without repeatedly rebuilding debugging, tracing, and deployment tooling from scratch.

read the full pyspur overview →

More in AI & Machine Learning

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

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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 pyspur more popular?

Agent-Reach has 83,525 GitHub stars and pyspur has 5,785. Agent-Reach has the larger community by that measure.

Are Agent-Reach and pyspur free?

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

What is the difference between Agent-Reach and pyspur?

Agent-Reach is written in Python and pyspur in TypeScript. 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 pyspur?

Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose pyspur if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.