Governed Shared Memory for AI Agents
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.
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.
Our flagship. Governed memory for multi-agent systems — combining vector store, knowledge graph, and LLM enrichment into one platform. Every write is auto-enriched, classified, contradiction-checked, and embedded. Multi-tenant, MCP-native, and built for agent fleets.
Smart AI routing, bidirectional conversations, and full governance across Teams, Slack, and web — powered by MemClaw's memory layer underneath.
Real-time visibility into every LLM call across your organization. Track latency, cost, token usage, and model performance from a single dashboard.
SOC 2 Certification In Progress
Ship exceptional products that push the boundaries of enterprise AI intelligence.
Leverage AI to accelerate development, decision-making, and customer success.
Build trust through open communication, governance, and ethical AI practices.
Developers, enterprises, and partners—we build corporate intelligence together.
Create an environment where exceptional talent thrives while building the future.
We're building the memory layer for agentic AI. Whether you're running agent fleets that need governed recall, or an enterprise seeking AI that actually remembers — we'd love to have you on board.
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