caura-memclaw
https://github.com/caura-ai/caura-memclaw
Python
Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
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- Issues
- deps: update redis[hiredis] requirement from <9,>=8.0.1 to >=8.1.0,<9 in /core-api
- deps: update uvicorn[standard] requirement from <1,>=0.51.0 to >=0.52.0,<1 in /core-api
- deps: update uvicorn[standard] requirement from <1,>=0.51.0 to >=0.52.0,<1 in /core-operations
- deps: update uvicorn[standard] requirement from <1,>=0.51.0 to >=0.52.0,<1 in /core-storage-api
- deps: update uvicorn[standard] requirement from <1,>=0.51.0 to >=0.52.0,<1 in /core-worker
- spike(mcp): migrate core-api to MCP Python SDK v2 (spec 2026-07-28)
- Interviewer/Prism: reports filed under de-collapsed main-<install_id> — misattributed & unreadable per-agent
- Per-worker settings cache: tenant setting flips take up to 5 min to enforce on the other uvicorn worker
- deps: update structlog requirement from <26,>=25.4 to >=26.1.0,<27
- deps: update cachetools requirement from >=7.1.4 to >=7.1.6
- Docs
- Python not yet supported