head to head · open source
Agent-Reach vs contextgem
Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. contextgem has 2,003 stars, 186 forks, 0 open issues and last shipped 1 months ago. Agent-Reach leads on adoption by 4,070% (83,525 vs 2,003 stars). Agent-Reach is written in Python under MIT; contextgem is written in Python under Apache-2.0. Agent-Reach has attracted 9% as many forks as stars, contextgem 9%. 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 | contextgem | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 2.0K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-15 | 2026-08-13 |
| Forks | ⑂ 7.3K | ⑂ 186 |
| 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 contextgem if
- You want the contextgem 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 contextgem 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 contextgem
ContextGem is a Python project in the AI and machine learning category, specifically for AI development platforms. Its tagline and GitHub description present it as a framework for extracting information from documents with large language models. The project is distributed as the contextgem package on PyPI, supports Python 3.10 through 3.14, and is licensed under Apache 2.0.
read the full contextgem overview →
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Frequently asked questions
Is Agent-Reach or contextgem more popular?
Agent-Reach has 83,525 GitHub stars and contextgem has 2,003. Agent-Reach has the larger community by that measure.
Are Agent-Reach and contextgem free?
Both are open source. Agent-Reach is licensed under MIT and contextgem under Apache-2.0. Neither carries a licence fee.
What is the difference between Agent-Reach and contextgem?
Agent-Reach is written in Python and contextgem 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 contextgem?
Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose contextgem if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.