Isolated Multi-Agent Control Plane

Production-ready multi-agent architecture kit for OpenClaw. Provides isolated per-agent workspaces, control-plane orchestration, structured task lifecycle, c...

Cerberus Multi-Agent Control Plane

A professional blueprint for building, operating, and governing local multi-agent teams in OpenClaw. It ships a hardened protocol stack for role isolation, task orchestration, asynchronous handoffs, and auditability.

Quick Start

1. Install blueprint into target path:
   • bash scripts/install_blueprint.sh /path/to/your/system
2. Verify task board:
   • python3 /path/to/your/system/scripts/taskctl.py list
3. Verify mailbox:
   • send: python3 /path/to/your/system/scripts/mailboxctl.py send --task-id TSK-000 --sender team-lead --receiver coder --correlation-id CORR-001 --body "ACK protocol"
   • ack: python3 /path/to/your/system/scripts/mailboxctl.py status --message-id MSG-0001 --to ACK --actor coder

What This Blueprint Provides

• Strict workspace isolation per agent (agents/*/workspace)
• Unified control plane (control-plane/tasks, control-plane/mailbox, control-plane/logs)
• Task state machine tooling (taskctl.py)
• Mailbox protocol tooling with checksum and GC (mailboxctl.py)
• Shared memory layer under control plane (control-plane/shared-memory)

Core Rules (must enforce)

1. Never use shared agent workspaces.
2. Use only control-plane/mailbox for agent-to-agent messaging.
3. Team Lead is sole mailbox garbage-collection authority.
4. Deploy actions require explicit human approval artifacts.

References

• Read references/operations-checklist.md for rollout and audit checks.
• Read assets/blueprint/docs/protocol-v1.md for protocol details.