wesm

wesm / kata

Public

Local-first issue tracking for AI-assisted software work, with an agent-friendly CLI and human-facing TUI

14
3
100% credibility
Found May 05, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

kata is a local-first issue tracker designed for both humans (via TUI) and coding agents (via CLI), storing structured tasks, comments, labels, and relationships in a SQLite database behind a daemon.

How It Works

1
💡 Discover kata

You learn about kata, a simple local tool that helps organize tasks and notes for your projects without needing online services.

2
📥 Get kata set up

Download and prepare kata on your computer with a quick, easy step.

3
🗂️ Connect to your project

Show kata your project folder so it can start tracking tasks just for that work.

4
✨ Create your first task

Add a note about what needs doing, and kata saves it neatly with all the details.

5
👀 Review and update tasks

Open the friendly view to see tasks, add comments, mark progress, or link related items.

✅ Everything organized

Your tasks stay tracked locally, easy to browse and manage whenever you need.

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Star Growth

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AI-Generated Review

What is kata?

kata is a local-first issue tracker built in Go for AI-assisted coding workflows. It runs a lightweight daemon with SQLite storage, offering a CLI optimized for agents—JSON output, idempotent creates, search-before-create—and a TUI for humans to triage and edit. Track issues per project with events, labels, links, comments, and hooks, keeping your gilded rose kata github or refactoring kata github exercises structured without relying on remote services like GitHub Issues.

Why is it gaining traction?

Unlike git-bug's git-embedded storage or Beads' Dolt graphs, kata keeps state in a user-local service via a tiny .kata.toml binding, staying out of repo history for clean local-first github setups. Agents love stable commands and event streams for polling/tailing; humans get a polished TUI over the same data. It's deliberately small—no federation or CI yet—focusing on audit trails and agent ergonomics for sql kata github or go kata github flows.

Who should use this?

Solo devs or teams using AI agents like Claude/Codex for codegen, needing a durable task ledger beyond chat transcripts. Ideal for local kata machine or kata runtime github experiments, or anyone tired of markdown plans scattering across GitHub kata baku and sambung kata github repos.

Verdict

Promising for local-first AI coding (early preview, solid tests/docs), but 14 stars and 1.0% credibility score mean watch for stability. Pair it with your katamari of tools if agents are core—otherwise, stick to mature alternatives.

(198 words)

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