Persistent Memory
Your AI agents retain context across every session. Knowledge graphs persist indefinitely — no more cold starts, no more forgotten conversations.
Now in Beta
Your AI agents forget everything between sessions.
Neuroloom gives them persistent memory. A production-grade knowledge graph that survives context windows, restarts, and deployments.
No credit card required · MCP-compatible · Open-core
Everything agents need to remember
Built from the ground up for production AI workloads. Not a bolt-on — a core infrastructure layer.
Semantic Search
Retrieve the right memory at the right moment. Vector similarity search surfaces relevant context even when the exact words differ.
MCP-Native
Drop-in integration with any MCP-compatible host. Connect Claude Desktop, Cursor, or your own AI agent in minutes — no custom code required.
Workspace Isolation
Every workspace is a hermetically sealed knowledge graph. Multi-tenant by design — team memories never cross workspace boundaries.
How it works
Three steps from zero to persistent agent memory.
01
Store
Your agents write memories to Neuroloom via the MCP tool interface. Structured facts, conversation context, and embeddings are persisted in your workspace knowledge graph.
02
Connect
Add Neuroloom to your MCP host with a single configuration line. No SDK installation, no custom middleware — just a server URL and your API key.
03
Remember
Every new session starts with the full context of every past one. Agents retrieve, reason over, and build upon accumulated knowledge automatically.