BrightbeamAI/chap
by Various
CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence log
MCP
BrightbeamAI/chap
Added 13 Sept 2026
Overview
CHAP is a Python runtime for human-agent collaboration that implements the Collaborative Human Agent Protocol. It supports MCP and A2A compatibility, enabling approvals, overrides, handoffs, escalation, and verifiable evidence logs for agent workflows.
Best for
Best for
Teams building auditable human-in-the-loop agent workflows.
Use cases
- Add human approval steps to agent actions
- Route agent tasks to humans for escalation or handoff
- Maintain auditable evidence logs for compliance
How to use
Install
pip install chap-coordinatorTested with
Cursor, ChatGPT
Notes
CHAP is a Python runtime for human-agent collaboration that implements the Collaborative Human Agent Protocol. It supports MCP and A2A compatibility, enabling approvals, overrides, handoffs, escalation, and verifiable evidence logs for agent workflows.
97 stars on GitHub. Last updated 2026-09-13. Licensed Apache-2.0.
Use cases
- Add human approval steps to agent actions
- Route agent tasks to humans for escalation or handoff
- Maintain auditable evidence logs for compliance
Pros
- MCP/A2A compatible for interoperability
- Built-in audit trail with verifiable evidence logs
- Explicit support for human oversight controls
Cons
- Small user base (97 stars) suggests limited adoption
- Python-only implementation
- Early-stage project with evolving protocol
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- MCP/A2A compatible for interoperability
- Built-in audit trail with verifiable evidence logs
- Explicit support for human oversight controls
Cons
- Small user base (97 stars) suggests limited adoption
- Python-only implementation
- Early-stage project with evolving protocol
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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