re_gent: Git for AI Coding Agents – Version Control for Agent Activity

re_gent is an open-source version control system designed specifically for AI coding agents. It automatically captures every tool call an agent makes — file edits, shell commands, etc. — along with the conversation context that triggered them. Think of it as Git for your agent's actions.
Key Features
- Automatic tracking: No manual commits. Every tool call is captured as a Step (parent hash, workspace snapshot, conversation delta, tool name and args, session ID, timestamp).
rgt log: See what the agent did — file changes, line counts, timestamps, and the causing prompt.rgt blame <file>:<line>: Identify which prompt wrote a specific line, which session, and which tool.rgt rewind(coming soon): Restore workspace to any previous step.- Multi-session awareness:
rgt sessionslists active sessions;rgt log --session <id>filters by session. rgt show <step-hash>: Full context for a step — diff, conversation, timestamp.
Installation
# Homebrew (macOS/Linux) brew tap regent-vcs/tap brew install regentOr via Go
go install github.com/regent-vcs/regent/cmd/rgt@latest
Then initialize in your project directory with rgt init. Shell completions for bash, zsh, and fish are included.
How It Works
Agent activity is stored in .regent/ (like .git/):
objects/— content-addressed blobs (BLAKE3)refs/— session pointersindex.db— SQLite query indexconfig.toml
Steps form a directed acyclic graph (DAG). Each session is its own branch; common ancestors are deduplicated. The tool currently supports Claude Code — contributions welcome for other agents.
For the full specification, see POC.md in the repository.
📖 Read the full source: HN AI Agents
👀 See Also

Spec27: Spec-Driven Validation for AI Agents – API-Level Testing Without Internal Access
Spec27 is a new tool from Safe Intelligence for spec-driven validation of AI agents. It tests agent behavior from the outside in, running adversarial and robustness checks against primary interfaces without needing SDKs, gateways, or internal traces.

SprintiQ: Open-Source Sprint Planning for Claude Code
SprintiQ is an open-source agile platform that acts as an orchestration layer for Claude Code, offering AI-powered user story generation, sprint planning, velocity tracking, and a CLI that syncs git activity to sprints in real time.

ApexClaw: Open-Source Telegram AI Agent with 85+ Tools for Web Automation, Voice, and Email
ApexClaw is an open-source Telegram AI agent written in Go that provides 85+ built-in tools including web browsing with headless Chrome, voice note processing, Gmail integration, and shell script execution. It's self-hosted and uses the z.ai engine for reasoning.

Claude AI Built a UFO Data Visualizer with Government Data in Hours
A Reddit user used Claude AI to build a full-stack UFO sighting visualizer from newly released U.S. Dept. of War data, hosted on Cloudflare, in just a few hours.