head to head · open source
zeroshot vs flock
zeroshot has 2,090 GitHub stars, 198 forks, 3 open issues and last shipped yesterday. flock has 501 stars, 6 forks, 2 open issues and last shipped 8 days ago. zeroshot leads on adoption by 317% (2,090 vs 501 stars). zeroshot is written in Rust under MIT; flock is written in Go under MIT. zeroshot has attracted 9% as many forks as stars, flock 1%. zeroshot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (claude, claude-code, code-review), so they are genuine substitutes rather than adjacent tools.
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
| zeroshot | flock | |
|---|---|---|
| GitHub stars | ★ 2.1K | ★ 501 |
| License | MIT | MIT |
| Written in | Rust | Go |
| Last push | 2026-11-02 | 2026-10-26 |
| Forks | ⑂ 198 | ⑂ 6 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick zeroshot if
- You weight community size — 2.1K stars and counting
- You want the MIT license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick flock if
- You want the flock feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and flock fits your workflow better
About zeroshot
Zeroshot The agent that writes the code should not be the one that decides it works. Zeroshot turns a software goal into an explicit multi agent graph: one agent implements, independent agents review, failures go back to a bounded repair loop, and nothing is delivered until the graph's checks pass. The implementing agent never approves its own work. Use the built in graph or bring your own topology. Add reviewers, tests, and repair loops, then save the setup as a profile for the next task. Opcore works alongside it: Opcore checks each edit while an agent writes code, and Zeroshot has independent agents review…
read the full zeroshot overview →
About flock
English · Русский · 中文 · Español · Deutsch · Français · Português (BR) · 日本語 Flock Run a Claude Code AI dev team on your server and drive it from chat. Describe a feature in Telegram, VK or LO; the team plans it, builds it on a branch, tests it, reviews it, and opens a PR — each chat in its own isolated workspace. It runs on your Claude Pro/Max subscription (no per token billing) or an Anthropic API key, ships as prebuilt Docker images (no build step), and keeps every chat in its own sandboxed workspace. Quick start (Docker) That pulls the prebuilt image ghcr.io/duckbugio/flock telegram — no build, no Ansible —…
read the full flock overview →
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Frequently asked questions
Is zeroshot or flock more popular?
zeroshot has 2,090 GitHub stars and flock has 501. zeroshot has the larger community by that measure.
Are zeroshot and flock free?
Both are open source. zeroshot is licensed under MIT and flock under MIT. Neither carries a licence fee.
What is the difference between zeroshot and flock?
zeroshot is written in Rust and flock 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, zeroshot or flock?
Choose zeroshot if you want the larger community (2,090 stars) or its MIT licence terms. Choose flock if its feature set, stack or MIT licence fits better. Both are self-hostable.