head to head · open source

Agent-Reach vs promptflow

Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. promptflow has 11,245 stars, 1,123 forks, 69 open issues and last shipped 25 days ago. Agent-Reach leads on adoption by 643% (83,525 vs 11,245 stars). Agent-Reach is written in Python under MIT; promptflow is written in Python under MIT. Agent-Reach has attracted 9% as many forks as stars, promptflow 10%. 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 promptflow ★ 11K category AI & Machine Learning

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Side by side

Agent-Reach promptflow
GitHub stars ★ 84K ★ 11K
License MIT MIT
Written in Python Python
Last push 2026-09-15 2026-08-26
Forks ⑂ 7.3K ⑂ 1.1K
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 promptflow if

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

full promptflow 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 promptflow

Prompt flow is a Microsoft developed, MIT licensed suite of Python development tools that streamlines the end to end lifecycle of LLM based AI applications — ideation, prototyping, testing, evaluation, production deployment and monitoring — for developers and teams who need prompt driven apps to reach production quality rather than stay in a notebook.

read the full promptflow 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 promptflow more popular?

Agent-Reach has 83,525 GitHub stars and promptflow has 11,245. Agent-Reach has the larger community by that measure.

Are Agent-Reach and promptflow free?

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

What is the difference between Agent-Reach and promptflow?

Agent-Reach is written in Python and promptflow 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 promptflow?

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