@itsclelia: I have one big problem with agentic engineering: I want agents to operate autonomously, but I also want granular, rever…

X AI KOLs Timeline 新闻
x social ai

摘要

I have one big problem with agentic engineering: I want agents to operate autonomously, but I also want granular, reversible control over every change they make. I could solve this by committing every intermediate step to Git, but that would completely pollute my repo history. So I built 𝗮𝗴𝗴𝗶𝘁: a Git-like CLI for local and remote (S3-backed) agent artifact storage, written in Rust . With aggit, my agents can stash intermediate work, create branches safely, restore previous states, and back

I have one big problem with agentic engineering: I want agents to operate autonomously, but I also want granular, reversible control over every change they make. I could solve this by committing every intermediate step to Git, but that would completely pollute my repo history. So I built 𝗮𝗴𝗴𝗶𝘁: a Git-like CLI for local and remote (S3-backed) agent artifact storage, written in Rust . With aggit, my agents can stash intermediate work, create branches safely, restore previous states, and back up artifacts to my @RustFSofficial server with multi-instance replication support, all without touching the main Git repository. Once the results are ready, I can cleanly push the final changes to GitHub. Learn more → http://aggit.dev Install as an agent skill → 𝘯𝘱𝘹 𝘴𝘬𝘪𝘭𝘭𝘴 𝘢𝘥𝘥 𝘈𝘴𝘵𝘳𝘢𝘉𝘦𝘳𝘵/𝘢𝘨𝘨𝘪𝘵 Leave a → http://github.com/AstraBert/aggit
查看原文
查看缓存全文

缓存时间: 2026/05/11 10:38

I have one big problem with agentic engineering: I want agents to operate autonomously, but I also want granular, reversible control over every change they make. I could solve this by committing every intermediate step to Git, but that would completely pollute my repo history. So I built 𝗮𝗴𝗴𝗶𝘁: a Git-like CLI for local and remote (S3-backed) agent artifact storage, written in Rust . With aggit, my agents can stash intermediate work, create branches safely, restore previous states, and back up artifacts to my @RustFSofficial server with multi-instance replication support, all without touching the main Git repository. Once the results are ready, I can cleanly push the final changes to GitHub. Learn more → http://aggit.dev Install as an agent skill → 𝘯𝘱𝘹 𝘴𝘬𝘪𝘭𝘭𝘴 𝘢𝘥𝘥 𝘈𝘴𝘵𝘳𝘢𝘉𝘦𝘳𝘵/𝘢𝘨𝘨𝘪𝘵 Leave a → http://github.com/AstraBert/aggit

aggit | S3-backed, git-versioned object storage

Source: https://aggit.dev/ Rust CLI + S3

S3-backed, git-versioned object storage for agents. Track local files as compressed objects, branch safely, and sync reachable history to S3-compatible remotes.

$ aggit init .
$ aggit author -n "Jane Doe" -e "[email protected]"
$ aggit add notes.txt
$ aggit commit -m "initial commit"
$ aggit origin create prod -e https://s3.example.com -s *** -k *** -r us-east-1
$ aggit push prod

Core Capabilities

Git-like Local Engine

`blob`, `tree`, and `commit` objects are stored under `.aggit/objects` with branch-aware refs and index.

Branching + Recovery

Switch branches with clean-state checks, restore working trees from committed snapshots, and inspect history objects.

S3 Sync

Push only reachable objects beyond remote head; clone remotes back into `.aggit` and materialize files locally.

How It Works

`aggit` keeps a minimal Git-like store inside `.aggit/`: file contents are hashed into compressed objects, index entries are tracked per branch, and commits link trees plus parent pointers. On push, it computes objects reachable from local head and uploads only what the remote bucket is missing, alongside branch head and index. Clone performs the inverse: downloads `.aggit` data from S3 and restores the working tree from the selected branch commit.

View the GitHub repository

相似文章

Show HN：面向AI代理的Git

Hacker News Top

re_gent 是一个开源的版本控制系统，专为AI代理活动设计，记录每一次工具调用及其相关提示，使开发者能够审查和回滚代理的变更。