Products
Memory, packaged for people, teams, and builders.
Three products for the ways memory ships — and the three engine layers they're built on. Same observe → learn → recall loop, different altitude.
Packaged products
MeshKey
One key. Your memory, in every AI.
A private, portable memory that unlocks in every AI tool you use — Claude Code, Cursor, ChatGPT. One key carries your context, preferences, and history wherever you work.
memory.observe · memory.search · MCP
Team Brain
Shared memory your whole team can trust.
A governed org memory: a shared knowledge graph with scopes, provenance, and compliance built in — so institutional knowledge stops disappearing every time someone switches context.
scopes · provenance · compliance
Mesh Router
The gateway that wires any agent into the mesh.
The infrastructure layer: an MCP gateway plus SDKs in five languages that connect any agent, tool, or app to MemMesh — one API for observe, recall, and predict.
MCP gateway · SDKs (TS · Py · Go · .NET · Rust)
The engine
Memory
Recall that compounds.
Cross-session persistent memory with hybrid search and a knowledge graph. The engine decides what's worth keeping, so context carries between conversations without bloating your prompts.
memory.observe · memory.search · memory.reflect
Predictions
Foresight, not just recall.
Declare any target and the engine predicts it from a subject's history — calibrated, provenanced, and abstaining when the signal is thin. This is the layer mem0 and MemoryLake have no answer for.
lattice.predict (event · numeric · time · anomaly)
Behaviors
From patterns to next-best-action.
The engine mines behavior into emergent patterns and closes the loop: predict, let the agent act, record the outcome, and watch the patterns recalibrate. Decisions and outcomes are first-class.
lattice.mine · learning.recordDecision / recordOutcome