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

OpenClaw Codex-GPT5.4 Task Validation Loop Issue
A developer reports Codex-GPT5.4 through OpenClaw gets stuck in a task validation loop during autonomous project work, repeatedly identifying and confirming tasks without executing them. They've implemented workspace controls including TASKS.md, heartbeat rules, and persona files to address the issue.

quorum: AI Code Governance Tool Enforces Independent Model Review
quorum is a governance layer for AI-assisted development that enforces a consensus protocol requiring code to be independently reviewed by a different model before committing. It includes three structural gates that block progress: audit, retro, and quality gates.

PhAIL Benchmark Tests VLA Models on Real Warehouse Robot Tasks
PhAIL is a real-robot benchmark that tests four vision-language-action models on bin-to-bin order picking using a Franka FR3 robot. The best model achieved 64 units per hour, compared to 330 UPH for human teleoperation and 1,300+ UPH for human manual work.

Keyoku Plugin Replaces OpenClaw's Static Heartbeat with Memory-Driven Autonomy
Keyoku is a free OpenClaw plugin that changes the agent's heartbeat from reading a static HEARTBEAT.md file to scanning the agent's actual memory store for stalled work, dropped commitments, conflicting information, and quiet relationships. It uses a local Go engine with SQLite + HNSW and offers three autonomy levels: observe, suggest, and act.