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
- fix(docs): remove stale MCP tool count
- feat(clients): send a User-Agent header identifying client and version
- docs(api-surfaces): document missing MCP tools (memclaw_write, memclaw_evolve, memclaw_insights, memclaw_tune)
- feat(client-python): opt-in retry with backoff for transient failures (429/502/503/504)
- feat(clients): add stats() to the Python and TypeScript clients
- feat(clients): send a User-Agent header identifying client and version
- docs(templates): feature_request.yml says "MCP tool (one of the 9)" but the server exposes 12
- feat(clients): map HTTP 429 to a dedicated RateLimitError with retry_after
- Security: SQL Injection via String Formatting in scope_sql Helper
- Reconcile sa.JSON() columns to JSONB; add deferred GIN index on documents.data
- Docs
- Python not yet supported