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
- feat(storage): save field layouts and positions
- docs(common): document LOCAL_EMBEDDING_MODEL, UVICORN_ACCESS_LOG and SLOW_QUERY_THRESHOLD_MS in .env.example
- fix(core-storage-api): leave archived memories out of default search
- feat(core-api): deployment-wide default for soft-delete retention
- feat(llm): add OPENAI_CHAT_SEND_TEMPERATURE config
- feat(llm): add Runcrate provider
- fix(common): clamp RANK_RETRY_ATTEMPTS to at least one attempt
- Fix purge discovery for short retention windows
- [Bug] RANK_RETRY_ATTEMPTS=0 silently disables reranking and logs 'Ranking failed after 0 attempt(s)' on every search
- [Docs] LOCAL_EMBEDDING_MODEL, UVICORN_ACCESS_LOG and SLOW_QUERY_THRESHOLD_MS are missing from .env.example
- Docs
- Python not yet supported