Crit – local review tool for agent plans and code diffs
Crit is a single-binary CLI that opens your file or code diffs in a browser with GitHub-inspired interface. Your favourite agent acts on the feedback and responds back - continue until you're happy. I've been building this for a few months now and it's been helping me a lot juggling parallel conversations with agents, making it easier to actually review the plans they generate and the resulting code - all before it hits GitHub. It also allows you to export the plans to a hosted service (which you can self-host for privacy), to solicit feedback from your team. No account needed, and reviews…
In plain words
Crit is a CLI tool that displays file changes and code diffs in a browser with a GitHub-like interface for reviewing agent-generated plans and code before deployment. Users can provide feedback directly in the tool, and their chosen AI agent responds and iterates based on comments until changes are approved. The tool supports sharing reviews with team members through an optional hosted service or self-hosted alternative, requires no account setup, and automatically deletes reviews after 30 days of inactivity.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Crit is a single-binary CLI that opens your file or code diffs in a browser with GitHub-inspired interface. Your favourite agent acts on the feedback and responds back - continue until you're happy. I've been building this for a few months now and it's been helping me a lot juggling parallel conversations with agents, making it easier to actually review the plans they generate and the resulting code - all before it hits GitHub. It also allows you to export the plans to a hosted service (which you can self-host for privacy), to solicit feedback from your team. No account needed, and reviews are automatically deleted after 30 days of inactivity.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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