firelock-ai

firelock-ai / kin

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Local-first semantic version control for AI-native teams. Git stores text history. Kin understands code.

firelock.ailabskin ai ai-agents ai-native developer-tools graph-database
21
0
89% credibility
Found Mar 20, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Kin is a semantic version control system that builds a graph of code entities and relationships to provide precise context for developers and AI agents, interoperating seamlessly with Git.

How It Works

1
📖 Discover Kin

You hear about Kin, a smart tool that truly understands your code's structure beyond just files.

2
🛠️ Set up on your project

Download Kin and point it at your existing code folder—it works alongside your current setup.

3
✨ See the magic

Run a quick check and instantly view your code's functions, connections, and relationships clearly laid out.

4
🔍 Dive into details

Trace any function to explore its callers, impacts, or build focused snapshots of relevant code.

5
🤖 Supercharge AI help

Share precise code insights with your AI assistant for faster, smarter coding support.

🚀 Code like a pro

Review changes meaningfully, catch issues early, and work efficiently with full code understanding.

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Star Growth

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AI-Generated Review

What is kin?

Kin is local-first semantic version control for ai-native teams, built in Rust. Git tracks text history; Kin parses code into a graph of entities like functions, deps, and calls, serving precise context to AI assistants via Model Context Protocol (like github kin openapi). Run `kin init` on any repo for semantic status, traces, diffs, and Git interop without disrupting your workflow.

Why is it gaining traction?

Validated benchmarks across Express, Flask, and others show Kin wins 69/70 AI tasks vs raw Git exploration, slashing wall-clock time by 50% and tokens by 44.6%. Local-first github design with `kin context` packs and `kin trace` delivers entity neighborhoods under token budgets, hooking devs in kin ai github setups who hate file-dumping to assistants.

Who should use this?

AI-native teams on TypeScript/Python/Rust projects needing semantic code control over Git's line diffs – think backend devs tracing impacts or frontend teams reviewing refactors. Ideal for local-first github workflows with Cursor/Claude, where `kin mcp` exposes dead code detection and provenance.

Verdict

Worth piloting for ai-native code history if you're on Tier 1 languages; benchmarks prove real gains. Alpha with 21 stars, 0.9% credibility score, and evolving CLI means test on non-prod – Git reversible adoption lowers risk.

(178 words)

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