Multi-agent coding is more than launching agents or letting them chat. h5i-python lets you program the full development process in Python: Claude Code, Codex, and other runtimes can implement independently, review one another, revise, run neutral tests, compete, and safely apply the winner. Each agent works in an isolated Git worktree, making every run reproducible and auditable. Open source, with 40 multi-agent LLM paper workflows included.
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.
Meet h5i: The Git sidecar for the AI age. While Git tracks code diffs, h5i versions the AI’s "Reasoning" (Observe-Think-Act) alongside it.
Unlike existing tools, h5i structures AI logic as a DAG linked to Git commits, allowing models to instantly restore context after session resets. It stands out with advanced compliance features like "Blind Edit" detection, uncertainty heatmaps, and prompt-injection scanning to ensure AI-generated code is traceable, safe, and reliable.
