Agentic Memory Platform
A SaaS memory layer with structured control, hybrid search, and MCP-first agent integration. Built for multi-agent systems requiring precision, confidentiality, and governance.
Contexts → Episodes → Interactions hierarchy with dimension filters for scoped retrieval. Avoids flat "soup" memory.
Semantic + dimension filters with binarized embeddings for lower latency and storage costs.
Entity_id + scope (private/group/tenant) enforced at write/search with partitioned indexes. No cross-entity bleed.
MCP surface plus REST API. Fits LangGraph, LangChain, LlamaIndex, and CrewAI.