AI-docs (Git-based workflow to manage AI-generated memory files)

What it does

A Go-based CLI tool that provides a one-command workflow to isolate AI-generated "memory" files (GEMINI.md, CLAUDE.md etc) onto a dedicated Git branch with worktree and easy sync. brew tap trknhr/homebrew-tap brew install ai-docs Using install script curl -sSL https://raw.githubusercontent.com/trknhr/ai-docs/main/install.sh | sh Using Go go install github.com/trknhr/ai-docs@latest Build from source git clone https://github.com/trknhr/ai-docs cd ai-docs go build -o ai-docs . Usage Initialize AI docs ai-docs init [--config path/to/.ai-docs.config.yml] [--force] [--dry-run] [-v] This command: ai-docs push [--config path/to/config.yml] [--dry-run] [-v] Copies local AI docs to the worktree,…from github.com

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  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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  GitdocsDec 2025 · gitdocs.cloud · ▲148

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  CommitAi2023 · github.com · ▲77

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• GD
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  Hello HN, I’m Andrew from docs.dev (https://docs.dev/), an AI powered docs assistant. With docs.dev you can generate your docs directly from your codebase, existing docs and other context sources. We don’t believe AI will replace technical writers—our goal is to make it easier for teams to get a solid first draft that they can review, edit, and improve. Think of it as a head start, not a finished product. More info on what we’ve built below but we wanted to release a quick, 1 minute, generate docs from your codebase tool. Try it out here:…

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• TB
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