caura-build-fleet
https://github.com/caura-ai/caura-build-fleet
Python
A runnable reference implementation of multi-agent constraint propagation using MemClaw. 5 specialists share memory via MCP so decisions made upstream automatically govern downstream agents.
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- Issues
- Add a 6th agent: Accessibility Auditor
- --json-output flag doesn't validate the output path before the run
- --dry-run doesn't verify MCP tool-schema shape, only connectivity
- Add a unit test for per-agent tool allowlisting
- Document MEMCLAW_TRANSPORT=rest fallback mode with a runnable example
- Add unit tests for config.py
- Add unit tests for agent_frontend.py, agent_performance.py, agent_seo.py
- Add unit tests for manager.py's data-isolation check and agent_codereview.py's verdict-line extraction
- De-duplicate the three separate retry/backoff implementations
- --json-output doesn't capture --reset results
- Docs
- Python not yet supported