MemClaw is built by Caura.ai as the governed memory platform for multi-agent AI systems. From semantic retrieval to knowledge graphs to cross-fleet sharing—MemClaw lets your agents remember, learn, and collaborate across teams with business-grade permissions and audit trails.

MemClaw combines a vector store, knowledge graph, and LLM enrichment pipeline into a single governed platform. Every write is auto-enriched—classified, entity-extracted, contradiction-checked, and embedded—before landing in the shared memory space. Search blends semantic similarity with graph traversal across fleet boundaries, all governed by tenant isolation, agent trust levels, and full audit trails.