head to head · open source
Agent-Reach vs Agently
Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. Agently has 1,652 stars, 181 forks, 15 open issues and last shipped 8 days ago. Agent-Reach leads on adoption by 4,956% (83,525 vs 1,652 stars). Agent-Reach is written in Python under MIT; Agently is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, Agently 11%. 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.
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Side by side
| Agent-Reach | Agently | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-15 | 2026-09-12 |
| Forks | ⑂ 7.3K | ⑂ 181 |
| 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
pick Agently if
- You want the Agently 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 Agently fits your workflow better
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 Agently
Agently is a Python GenAI application development framework and AI application runtime framework. It lives in the AI and machine learning ecosystem, specifically in AI development platforms for agents and large language model services. The project targets teams moving from one successful model call to a reliable application backend with stable contracts, observable execution, and restart safe workflow boundaries.
read the full Agently overview →
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Frequently asked questions
Is Agent-Reach or Agently more popular?
Agent-Reach has 83,525 GitHub stars and Agently has 1,652. Agent-Reach has the larger community by that measure.
Are Agent-Reach and Agently free?
Both are open source. Agent-Reach is licensed under MIT and Agently under Apache-2.0. Neither carries a licence fee.
What is the difference between Agent-Reach and Agently?
Agent-Reach is written in Python and Agently 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 Agently?
Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose Agently if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.