I built an AI memory engine in 10 days, then needed a project to prove it works

Your AI's second brain. Ready in minutes.

Persistent, Verifiable Memory for AI

Built for developers using Claude, GPT, and any MCP-compatible agent.

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p50 recall latency0.045ms

Markov hit rate64%

token savings (compact proofs)37%

dedicated instance, starting$5/mo

instance setup time<60s

Capabilities

Built on verifiable mathematics.

Not approximations or fuzzy similarity search. Every claim is provable, every number is measured in production.

Merkle Proofs

Every atom is cryptographically committed.

RFC 6962-compliant SHA-256 Merkle tree. Tamper with one atom — the root hash changes. AI clients verify integrity without trusting the server.

37% token savings vs raw proofs

Markov Prediction

Your next memory is already warm.

Variable-order Markov chain predicts which atoms you'll access next. Pre-fetches context before the query arrives. Weights decay at 0.5^(days/7) — recency matters.

64% hit rate in production

Sub-ms Recall

0.045ms p50. Not a typo.

LevelDB with JumpHash sharding across 4 independent Merkle trees. Dedicated instance means zero contention. No shared cluster, no noisy neighbours.

0.045ms p50 · 1.2ms p99

MCP-Native

25+ tools. Plug in, don't integrate.

Streamable HTTP MCP transport. Works with Claude, Cowork, and any MCP-compatible client. OAuth2 + Bearer auth. The client your AI already speaks.

25 MCP tools · Streamable HTTP

Architecture

From atom to proof in four steps.

No black boxes. Every stage is deterministic, measurable, and verifiable.

01

Atom arrives

API call or MCP tool deposits a memory atom. Immediately hashed and committed to the Merkle tree.

02

JumpHash routes to shard

The atom key is deterministically routed to one of 4 LevelDB shards via JumpHash — O(1), no coordination.

03

Markov arc fires

The transition is recorded. The Markov predictor updates its weight table and schedules predictive prefetch.

04

Proof returned

On read, the atom comes with a Merkle audit path. Client verifies root hash. Tamper-evident, always.

Full architecture documentationGet Your Instance

Built on our own product

We don't just sell you a second brain. We trust it with ours.

Every billing event, health check, customer signup, and architecture decision at Parametric Memory is a Merkle-sealed atom in our own MMPM substrate. The same proofs that protect your data protect our audit trail.

If we trust it to run our company, you can trust it with your AI's memory.

Our live substrate

821+

atoms sealed · Merkle-verified · in production since March 2026

64%

Markov hit rate

0.045ms

Recall latency p50

Every read

Merkle proofs issued

None. Zero.

Shared infrastructure

Live Demo

Watch the memory substrate live.

Real atoms. Real Merkle rehash cascades. Real Markov arc predictions. Connect to a live MMPM instance and watch memory form in real time.

See It Live

Get started today

Start in minutes. Your AI will remember everything.

Dedicated substrate. Cryptographic proofs. Markov prediction. Your own Merkle tree — not a row in someone else's database.

Get Your Instance

Starting at $5/month · 30-day money-back guarantee · Cancel anytime

Starter $5 · Solo $9 · Professional $29 · Team $79 · Enterprise Cloud $299 · Self-Hosted $499