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
- Add a tests/ suite for simulate.py's pure logic
- Generalize the hardcoded $299 → $349 price simulation into a config
- Make --dry-run fully offline-testable (no openclaw CLI dependency)
- Fix .env.example formatting bug
- Add a --verbose/--quiet flag or structured (JSON) log output mode
- [BUGF][Fixed comment merging with env var]
- Stale "(crystallizer)" comment in .env.example
- skills/memclaw-research-fleet.md contradicts the agents on the confirm transition
- fleet-longrun-research is hardcoded 14× in simulate.py's prompt templates
- openclaw.json's MCP server URL is hardcoded to localhost:8000 (self-hosted only)
- Docs
- Python not yet supported