caura-long-run-fleet
https://github.com/caura-ai/caura-long-run-fleet
Python
Long-running fleet orchestration and memory infrastructure for AI agents. Enables persistent context, shared memory, task execution, and governed coordination across multi-agent systems.
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- Issues
- simulate.py runs on placeholder MEMCLAW_TENANT_ID / missing API key until Day 9, then fails quietly
- openclaw.json hardcodes the LLM model and a placeholder base_url that users must edit in a tracked file
- call_agent crashes the worker thread when the gateway's --json output isn't an object
- Parallel agent replies print as three separate calls and can interleave
- Make the 300s per-agent timeout configurable (--agent-timeout)
- README step 5 warns to review the plugin installer, then pipes it straight into bash
- fix: make per-agent timeout configurable (#36)
- fix: handle non-object JSON agent replies (#34)
- docs: update README for renamed repository (#26)
- fix: print each agent reply as a single block (#35)
- Docs
- Python not yet supported