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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 log

Our verdict

Not reviewed yet

We have not reviewed BrightbeamAI/chap yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About BrightbeamAI/chap

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

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

Notes

97 stars on GitHub. Last updated 2026-09-13. Licensed Apache-2.0.

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

Key facts

What we have checked

Days since the last commit
4
Checked GitHub
GitHub forks
14
Checked GitHub
GitHub stars
121
Checked GitHub
Days to a first reply on issues
36.2
Checked GitHub
Open issues
2
Checked GitHub
Releases in the last 90 days
9
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

pip install chap-coordinator

Clients the listing names (not checked here)

Cursor, ChatGPT

Install

Add BrightbeamAI/chap to your client

Not verified yet

No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.

Until then, follow the project's own README, or the setup the listing publishes under How to set it up.

Works with

What BrightbeamAI/chap connects to

No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.

Health and security

Is BrightbeamAI/chap looked after, and what do its setup files show

Health score

60 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 4 days ago
Releases15 of 159 releases in 90 days
Issue replies0 of 20First reply in 36.2 days (median)
Maintainer15 of 15Owned by an organisation
Official source0 of 20Community server

Security check static checks

100 out of 100

Reads what is published about the server: package advisories, licence, secrets in the documented setup and tool permissions. Nothing is installed or run, so this is not a security assessment. Checked by edna-static-v1 PyPI:chap-coordinator@0.3.3. What it checks

Licence: Apache-2.0

  • Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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