Introducing Parametric Memory
Today we're launching Parametric Memory — a dedicated memory system for AI agents that makes every recalled fact cryptographically verifiable.
The problem with AI memory today
Most AI agents are stateless. Each conversation starts from scratch. Those that aren't stateless typically rely on vector databases — which are probabilistic by nature and offer no way to verify that a retrieved fact wasn't corrupted or hallucinated.
We think memory should be more like a database than a dream.
What we built
Parametric Memory combines three primitives that don't usually appear together:
1. Merkle-hashed atoms
Every piece of information stored is an atom — a named, versioned string with a SHA-256 hash. Atoms are inserted into an RFC 6962 Merkle tree. When you recall an atom, you receive a proof alongside the value:
const { atom, proof } = await memory.recall("user preferences");
const valid = await memory.verify(atom, proof);
// → true (or throw if tampered)No trust required. You can verify the recall yourself, client-side.
2. PPM Markov prediction
We trained a Prediction by Partial Matching (PPM) model on recall sequences. By observing which atoms you access in which order, the model pre-fetches what you're likely to need next — before you ask.
In internal testing against real agent sessions, we're seeing a 64% hit rate on predicted-next atoms. That means 64% of the time, the atom you need is already in your cache when you ask for it.
3. MCP-native transport
Parametric Memory ships with a Model Context Protocol (MCP) HTTP server alongside its REST API. Connect any MCP-compatible agent — Claude, Cursor, Cline — and it gains persistent memory immediately, with no SDK required.
Performance numbers
We obsess over latency. Here are real numbers from our production deployment:
| Metric | Value |
|---|---|
| Recall p50 | 0.045ms |
| Recall p99 | 1.2ms |
| Batch recall (50 atoms) | 0.8ms |
| Markov prediction hit rate | 64% |
What's next
We're launching with Starter, Solo, Professional, and Team tiers. Plans start at $3/month (Starter).
Get started now — plans from $3/month.
The roadmap includes consistency proof auditing, multi-tenant isolation, and a hosted knowledge graph explorer. If you have requirements we haven't covered, reach out — we're building this in the open.