Collaborative Human Agent Protocol (CHAP)
The Collaborative Human Agent Protocol (CHAP) is a new framework designed to standardize how human-AI interactions are recorded and verified. By storing human edits and approvals as structured, hash-linked artifacts, it allows teams to audit and reconstruct decision-making processes in automated workflows.
Why it matters
As AI agents take on more autonomous tasks, standardized audit trails are critical for accountability and debugging in professional software development.
The protocol for humans and agents doing real work together.
When a bot drafts something and a human edits it, where does that edit live? In CHAP, it lives in an envelope you can query, replay, and verify six months later.
Install · The 90-second tour · Twelve scenarios · About this repo · Paper
You have agents doing real work. Drafting code reviews, triaging tickets, suggesting settlements, reviewing contracts. A human approves, edits, or rejects each one. Right now, that decision lives in your application code, your chat threads, your ticket comments, and your head. When something goes wrong six weeks later, reconstructing what happened costs you forty-five minutes and is half guesswork.
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