AI Memory Infrastructure

MemMesh

Memory + prediction for AI agents.

MemMesh gives your AI agents a memory that predicts. A persistent, cross-session memory layer with bi-temporal facts and a unified retrieval scorer, it turns accumulated behavior into calibrated predictions — with health and financial intelligence and compliance built in. Works in any agent via MCP or the SDK.

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What you get

Everything below is built and shipping today, unless flagged otherwise.

Cross-session memory

Hierarchical, bi-temporal memory that persists across sessions, tools, and agents.

Calibrated prediction

Mines accumulated behavior into probabilistic predictions agents can act on.

Drop-in via MCP or SDK

Add memory to any agent stack — Claude, Cursor, OpenAI, or your own — with one integration.

Compliance built in

Retention, redaction, and audit controls suitable for regulated domains.

Why teams choose MemMesh

The unfair advantages baked into the product.

Memory that predicts, not just recalls
Bi-temporal facts with time-travel and audit
Works across tools via MCP — not locked to one agent runtime
Domain intelligence packs (health, financial) out of the box

Built for ai agent builders, product & data teams.

MemMesh is opinionated about who gets the most out of it. If that's you, the on-ramp is fast.