h5i
Next-Gen AI-Aware Git. Sandbox, Token Saving, Agent Radio
3 followers
Next-Gen AI-Aware Git. Sandbox, Token Saving, Agent Radio
3 followers
h5i is an open-source Git sidecar for AI-era development, achieving auditable sandbox, prompt-aware commits, 95% less token waste, 3.5x richer PR brief, 1.8x faster multi-agent real-time conversation. Git records what changed; h5i records the rest: the prompt, model, files read, reasoning, tests, audit signals, sandbox events, and agent-to-agent handoffs behind every change.
This is the 2nd launch from h5i. View more
h5i
Launching today
h5i is an open-source Git sidecar for AI-era development, achieving auditable sandbox, prompt-aware commits, 95% less token waste, 3.5x richer PR brief, 1.8x faster multi-agent real-time conversation. Git records what changed; h5i records the rest: the prompt, model, files read, reasoning, tests, audit signals, sandbox events, and agent-to-agent handoffs behind every change.
Free
Launch Team / Built With
Git records what changed. h5i records the rest: who, why, what the agent knew, whether it was safe, and how the next agent picks up where the last left off.
Use h5i if you want your AI agents to stop leaving their work in thin air.
Want to know which model, prompt, and reasoning led to a commit?
Want the next agent to inherit the full context of the last one?
Want Claude and Codex to talk in real time, with the conversation stored in Git?
Want to reduce token usage by shrinking noisy tool output while keeping the raw evidence?
Want to run a risky AI-generated code in a confined sandbox, then review it before it touches your tree?
Want to catch leaked secrets, blind edits, and risky AI changes before review?
Feature Example - 1: Agent Radio — agents that talk over Git
Your agents can talk to each other through it: h5i offers a cross-agent message channel stored in Git, built for typed operational handoffs (ASK · REVIEW_REQUEST · RISK · DONE · ACK). Claude can ask, Codex can review, risks can be flagged and resolved, and the whole log survives clones, machines, and branches.
Feature Example - 2: Agent Sandbox — a confined, fully auditable environment
`h5i env` gives you a disposable, confined environment — a git worktree plus a policy that limits what the code inside can read, write, and reach over the network — so you can run a refactor, a dependency upgrade, or an untrusted build (yourself or via an agent) without it touching your main tree. Your loop is four commands:
Feature Example - 3: Token Reduction with Unified Form
CLI output from tools like pytest and cargo run by AI agents often becomes long and consumes a large number of tokens. h5i solves this by structuring and compressing tool output while keeping the raw logs recoverable through Git/LFS/S3, achieving both token reduction (up to 95%) and auditability.
Feature Example - 4: Context DAG
The context DAG shows how the work unfolded: the goal, every milestone, and the OBSERVE / THINK / ACT trace behind each change, captured automatically as the agent works. Because it is snapshotted on every commit, you can replay exactly what an agent knew and why it acted at any point in history.
Feature Example - 5: Pull Request Integration
When a branch is ready for review, h5i surfaces all of it where reviewers already work — on the pull request.