ContextGit

What it does

ContextGit brings version control, traceability, and structure to LLM context, so Claude, GPT, and Cursor stop using outdated specs.

Requirements traceability tool for LLM-assisted development. Automatic staleness detection, bidirectional linking, and precise context extraction for Claude Code, Cursor, and similar AI coding tools.

Stop losing context in your AI coding sessions. ContextGit tracks requirements, detects staleness, and provides precise context extraction for Claude Code , Cursor , and similar tools. Now with MCP Server , Watch Mode , and multi-format support ! Built specifically for LLM-assisted development workflows. Keep your AI tools in sync with your requirements. Connect business requirements to system specs, architecture decisions, code, and tests. Navigate upstream and downstream effortlessly. Automatically detect when requirements become stale after upstream changes. Never work with outdated specs again. Extract exactly what your LLM needs — no more, no less. Reduce token usage by up to 94% while…from contextgit.com

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  Context GatewayMar 2026 · github.com · ▲220

  We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

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  I replaced vector databases with Git for AI memory (PoC)2025 · github.com · ▲198

  Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…

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  Git for AI AgentsMay 2026 · github.com · ▲129

  hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

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  GitWhyMar 2026 · gitwhy.dev · ▲8

  Save, share, and review the reasoning behind your AI-generated code — tied to commits, delivered to PRs.

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  ShadowGit2025 · shadowgit.com · ▲20

  Hey HN, I built ShadowGit a while back to automatically commit code every minute to a hidden git repo (.shadowgit.git). Original goal was to easily rollback when AI tools break things. But I discovered something interesting: this minute-by-minute history is perfect context for AI assistants. So I built an MCP server that lets Claude/Cursor query this history using native git commands. The results surprised me: Before: Claude would read my entire codebase repeatedly, burning 15,000+ tokens to debug issues. After: Claude runs `git log --grep="drag"` finds when drag-and-drop worked,…

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  context0Apr 2026 · context-0.vercel.app · ▲3

  Like git stash, but for your agent's working memory

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