Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Continuous background code review database for agents, work faster and smarter with accountability for every line of generated code.
| Date | Stars |
|---|---|
| 2026-07-31 | 1587 |
| 2026-08-05 | 1594 |
| 2026-08-06 | 1594 |
Today
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Momentum
35.0
growth rate 0.00%/day
<picture> <source media="(prefers-color-scheme: dark)" srcset="https://roborev.io/assets/static/logo-with-text-dark-bg.svg"> <img alt="roborev" src="https://roborev.io/assets/static/logo-with-text-light.svg"> </picture> [](https://go.dev/) [](https://opensource.org/licenses/MIT) [](https://roborev.io) **[Documentation](https://roborev.io)** | **[Quick Start](https://roborev.io/quickstart/)** | **[Installation](https://roborev.io/installation/)** Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound. Pull code reviews into your agentic loop while context is fresh.  ## How It Works 1. Run `roborev init` to install a post-commit hook 2. Every commit triggers a background review -- agents write, roborev reads 3. View findings in the TUI, feed them to your agent, or let `roborev fix` handle it ### Automation, two layers  - **Post-commit reviews** - a git hook reviews every commit in the background (any agent). - **Agent hook** - watches your Claude Code / Codex session and tells the agent to run the roborev-fix skill when findings pile up. ```bash roborev init # layer 1: per-commit reviews roborev skills install roborev agent-hook install # layer 2: mid-session fix loop (Codex/Claude) roborev agent-hook install --agent droid # layer 2: mid-session fix loop (Factory Droid) ``` Before you ship, run the `/roborev-refine` skill: it re-reviews and fixes your whole branch until every review passes, catching bugs before the PR. New here? Run `roborev quickstart` and point your agent at it. ## Quick Start ```bash cd your-repo roborev init # Install post-commit hook git commit -m "..." # Reviews happen automatically roborev tui # View reviews in interactive UI ``` If roborev is managed by a version manager, `roborev init` and `roborev agent-hook install` try to install hooks with the stable shim/symlink. You can also choose the exact binary path with `roborev init --binary ~/.local/share/mise/shims/roborev`, `roborev agent-hook install --binary ~/.local/share/mise/shims/roborev`, or `roborev agent-hook install --agent droid --binary ~/.local/share/mise/shims/roborev`.  ## Features - **Background Reviews** - Every commit is reviewed automatically via git hooks. No remote review workflow required. - **Auto-Fix** - `roborev fix` feeds review findings to an agent that applies fixes and commits. `roborev refine` iterates until reviews pass. - **Agent Hook** - Optional Codex, Claude Code, and Factory Droid harness hooks can prompt active sessions to run the fix skill when roborev has open failed reviews. - **Code Analysis** - Built-in analysis types (duplication, complexity, refactoring, test fixtures, dead code, security) that agents can fix automatically. - **Multi-Agent** - Works with Codex, Claude Code, Gemini, Copilot, OpenCode, Cursor, Kiro, Kilo, Droid, Pi, and Grok Build. - **Runs Locally** - No hosted service or additional infrastructure. Reviews are orchestrated on your machine using the coding agents you already have configured. - **Interactive TUI** - Real-time review queue with vim-style navigation. - **Review Verification** - `roborev compact` verifies findings against current code, filters false positives, and consolidates related issues into a single review. - **Extensible Hooks** - Run shell commands on review events. Built-in [beads](https://github.com/steveyegge/beads) and [kata](https://github.com/kenn-io/kata) integration
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Phillip Cloud · @kenn-io
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Hugh Brown · Colombia
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Andy Hadjigeorgiou · Flatiron Health · United States
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Miki Tebeka · 353solutions · Israel
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:02e03c92fecd4782, desc:code review