head to head · open source
Agent-Reach vs langtrace
Agent-Reach has 83,525 GitHub stars, 7,317 forks, 137 open issues and last shipped 5 days ago. langtrace has 1,232 stars, 127 forks, 2 open issues and last shipped 10 months ago. Agent-Reach leads on adoption by 6,680% (83,525 vs 1,232 stars). Agent-Reach is written in Python under MIT; langtrace is written in TypeScript under AGPL-3.0. Agent-Reach has attracted 9% as many forks as stars, langtrace 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.
← all 20902 open source comparisons
Side by side
| Agent-Reach | langtrace | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 1.2K |
| License | MIT | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-15 | 2025-11-17 |
| Forks | ⑂ 7.3K | ⑂ 127 |
| 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 langtrace if
- You want the langtrace feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and langtrace 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 langtrace
Langtrace is an open source, OpenTelemetry based end to end observability tool for LLM applications that captures and analyzes real time traces, evaluations and metrics across LLM APIs, vector databases and LLM frameworks, and it is aimed at developers and LLMOps teams who need to see what their LLM backed applications are actually doing in production.
read the full langtrace 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 langtrace more popular?
Agent-Reach has 83,525 GitHub stars and langtrace has 1,232. Agent-Reach has the larger community by that measure.
Are Agent-Reach and langtrace free?
Both are open source. Agent-Reach is licensed under MIT and langtrace under AGPL-3.0. Neither carries a licence fee.
What is the difference between Agent-Reach and langtrace?
Agent-Reach is written in Python and langtrace 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 langtrace?
Choose Agent-Reach if you want the larger community (83,525 stars) or its MIT licence terms. Choose langtrace if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.