oobo

In plain words

Oobo is a Git layer that attaches context to commits made by AI agents and humans, preserving information about decision-making, transcripts, and agent runs alongside code changes. It integrates with 15 tools and is open source. Designed for development teams using AI-assisted coding, Oobo helps teams understand not just what code changed, but why and how those changes came about, creating a searchable memory for each commit as codebases evolve.

written from the facts on this page · September 2026

From the sources

Oobo is Git for agents (and humans). It enriches your repo with additional context about AI usage, helping agents and teams understand why something was built, how decisions were made, and what happened around the code, not just in the final diff.

Every commit gets a memory. The transcripts, the decisions, the agent runs. AI context across 15 tools. Open source.

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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…

• 
  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…

• 
  Packmind Open SourceNov 2025 · packmind.com · ▲111

  Roll out coding standards safely across repos and agents

• 
  Retain – A unified knowledge base for all your AI coding conversationsJan 2026 · github.com · ▲45

  Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

• GW
  Git why – log your agent reasoning trace along your codeApr 2026 · hexapode.github.io · ▲11

  I was frustrated with not being able to know why the code written by my colleague agents was in the codebase, so I build a tool to version agent trace along code in git.

• 
  Moo, Git versions code, moo versions machinesJul 2026 · github.com · ▲9

  I'm Evan, CTO of Ito (ito.ai). We do code review that actually runs your code. When we're developing locally, we run lots of coding agents in parallel against the same repo, and we kept hitting the same wall: git worktrees isolate files, but the database, ports, and services all collide. Moo is a brand new internal tool we use to moove faster and thought we'd share it. Every branch or agent attempt gets its own isolated Linux machine, and the machine's state is versioned with your repo. Moo save snapshots the runtime tagged with the current commit. Check out an old SHA, run moo new, and you…

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