Hanzo Memory

Hanzo Memory is a searchable, editable long-term memory in one place. Store facts and context as you go, then retrieve them by meaning — it powers personal recall for agents and applications through semantic vector search.

Features

• Semantic search over stored memories using vector embeddings
• Multi-tenant isolation per userId
• Importance scoring to weight what matters
• Structured knowledge base of facts with confidence scores (/v1/kb/facts/*)
• Optional PII stripping and LLM-based filtering before storage
• Metadata on every memory for filtering and provenance

Memory builds on the same embedding and vector primitives as the rest of the platform — see Embeddings and Vector to build custom retrieval on top.

Related

• Embeddings — the vectors behind semantic recall
• Vector — the managed vector database for custom RAG
• MCP — expose memory to agents as a tool
• API Keys — authenticate with sk- keys
• API Reference — every endpoint at api.hanzo.ai