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BrightbeamAI / chap

CHAP, the Collaborative Human Agent Protocol, is a MCP/A2A-compatible runtime for auditable human-agent work: approvals, overrides, handoffs, escalation and verifiable evidence logs.

Why this job: says: agent protocol; topics: a2a, human-in-the-loop, multi-agent-systems, ai-agents

What it does

CHAP gives approvals, overrides, handoffs and escalations one shared, auditable shape across MCP and A2A.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit yesterday
Stars
122
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.3.5
Released yesterday
Built with
Python
30% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
98% closed
1 still open
Pull requests
125 merged
0 waiting
Releases
15
15 in the last year
More: languages, topics, project record and preview image

Languages

  • Python 30%
  • HTML 30%
  • TypeScript 16%
  • JavaScript 15%

Topics

  • human-ai-collaboration
  • human-computer-interaction
  • human-in-the-loop
  • human-robot-interaction
  • a2a
  • a2a-protocol
  • ai-agents
  • audit-trail
  • mcp
  • model-context-protocol
  • multi-agent-systems
  • python

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits428
  • Forks14
  • Watching1
  • Stars in 28 days+14
  • CreatedMay 17, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

Project preview image

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