head to head · open source
Agent-Reach vs Multica
Agent-Reach has 82,763 GitHub stars, 7,236 forks, 137 open issues and last shipped 3 days ago. Multica has 50,299 stars, 6,507 forks, 1,538 open issues and last shipped yesterday. Agent-Reach leads on adoption by 65% (82,763 vs 50,299 stars). Agent-Reach is written in Python under MIT; Multica is written in Go under a custom or non-standard licence. Agent-Reach has attracted 9% as many forks as stars, Multica 13%. Multica 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 | Multica | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 50K |
| License | MIT | Custom / other |
| Written in | Python | Go |
| Last push | 2026-09-15 | 2026-09-17 |
| Forks | ⑂ 7.2K | ⑂ 6.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agent-Reach if
- You weight community size — 83K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Multica if
- You want the Multica feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Multica 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 Multica
Multica is an open source project management platform designed for teams combining human developers and AI coding agents. It operates in the AI development ecosystem, providing a unified workspace where agents function as first class collaborators alongside people. The platform solves the problem of fragmented agent workflows: when using multiple AI tools like Claude Code, Codex, or Cursor in separate terminal sessions, context is lost between runs, coordination becomes manual, and oversight is difficult. Multica centralizes agent execution, assignment, and review into a single system where work flows from issue …
read the full Multica overview →
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Frequently asked questions
Is Agent-Reach or Multica more popular?
Agent-Reach has 82,763 GitHub stars and Multica has 50,299. Agent-Reach has the larger community by that measure.
Are Agent-Reach and Multica free?
Both are open source. Agent-Reach is licensed under MIT, and Multica has no licence declared in this registry. Both are free to self-host.
What is the difference between Agent-Reach and Multica?
Agent-Reach is written in Python and Multica in Go. 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 Multica?
Choose Agent-Reach if you want the larger community (82,763 stars) or its MIT licence terms. Choose Multica if its feature set, stack or Custom / other licence fits better. Both are self-hostable.