head to head · open source
Agent-Reach vs LLM Gateway
Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. LLM Gateway has 1,650 stars, 187 forks, 77 open issues and last shipped today. Agent-Reach leads on adoption by 4,962% (83,525 vs 1,650 stars). Agent-Reach is written in Python under MIT; LLM Gateway is written in TypeScript under a custom or non-standard licence. Agent-Reach has attracted 9% as many forks as stars, LLM Gateway 11%. LLM Gateway 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.
← all 20902 open source comparisons
Side by side
| Agent-Reach | LLM Gateway | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 1.6K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-15 | 2026-09-20 |
| Forks | ⑂ 7.3K | ⑂ 187 |
| 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 LLM Gateway if
- You want the LLM Gateway feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and LLM Gateway 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 LLM Gateway
LLM Gateway is an open source API gateway for large language models. It acts as middleware between applications and model providers, and it is categorized in the AI and Machine Learning / AI Development Platforms ecosystem. The project is written in TypeScript, and its core functionality is licensed under AGPLv3, while features in the ee directory require an Enterprise license.
read the full LLM Gateway overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Agent-Reach or LLM Gateway more popular?
Agent-Reach has 83,525 GitHub stars and LLM Gateway has 1,650. Agent-Reach has the larger community by that measure.
Are Agent-Reach and LLM Gateway free?
Both are open source. Agent-Reach is licensed under MIT, and LLM Gateway has no licence declared in this registry. Both are free to self-host.
What is the difference between Agent-Reach and LLM Gateway?
Agent-Reach is written in Python and LLM Gateway 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 LLM Gateway?
Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose LLM Gateway if its feature set, stack or Custom / other licence fits better. Both are self-hostable.