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.
Our Team
The people building governed memory for agentic AI.
Our Mission
Caura is building the shared memory layer for agentic AI. Our flagship product, MemClaw, gives agent fleets governed, persistent memory — so knowledge compounds across teams, models, and sessions instead of disappearing after every conversation.
Our Vision
AI agents are everywhere — but they operate in isolation. Knowledge doesn't transfer. Insights don't compound. There's no governance. We believe the next wave of enterprise AI requires a governed memory substrate: a place where agents store what they learn, share it with the right teams, and operate within trust boundaries. MemClaw is that substrate — model-agnostic, multi-tenant, and governed by default.