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

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Parametric Memory — Persistent, Verifiable Memory for AI<br>Now AvailableDedicated AI memory with cryptographic proofs. From $5/mo.View pricing →<br>Parametric Memory<br>Sign In

Your AI's second brain.<br>Ready in minutes.<br>Persistent, Verifiable Memory for AI<br>Built for developers using Claude, GPT, and any MCP-compatible agent.<br>Get Your InstanceSee It Live

p50 recall latency0.045ms<br>Markov hit rate64%<br>token savings (compact proofs)37%<br>dedicated instance, starting$5/mo<br>instance setup time

Capabilities<br>Built on verifiable mathematics.<br>Not approximations or fuzzy similarity search. Every claim is provable, every number is measured in production.

Merkle Proofs<br>Every atom is cryptographically committed.<br>RFC 6962-compliant SHA-256 Merkle tree. Tamper with one atom — the root hash changes. AI clients verify integrity without trusting the server.<br>37% token savings vs raw proofs

Markov Prediction<br>Your next memory is already warm.<br>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.<br>64% hit rate in production

Sub-ms Recall<br>0.045ms p50. Not a typo.<br>LevelDB with JumpHash sharding across 4 independent Merkle trees. Dedicated instance means zero contention. No shared cluster, no noisy neighbours.<br>0.045ms p50 · 1.2ms p99

MCP-Native<br>25+ tools. Plug in, don't integrate.<br>Streamable HTTP MCP transport. Works with Claude, Cowork, and any MCP-compatible client. OAuth2 + Bearer auth. The client your AI already speaks.<br>25 MCP tools · Streamable HTTP

Architecture<br>From atom to proof in four steps.<br>No black boxes. Every stage is deterministic, measurable, and verifiable.

01Atom arrives<br>API call or MCP tool deposits a memory atom. Immediately hashed and committed to the Merkle tree.

02JumpHash routes to shard<br>The atom key is deterministically routed to one of 4 LevelDB shards via JumpHash — O(1), no coordination.

03Markov arc fires<br>The transition is recorded. The Markov predictor updates its weight table and schedules predictive prefetch.

04Proof returned<br>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<br>We don't just sell you a second brain.<br>We trust it with ours.<br>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.<br>If we trust it to run our company, you can trust it with your AI's memory.

Our live substrate<br>821+<br>atoms sealed · Merkle-verified · in production since March 2026

64%<br>Markov hit rate

0.045ms<br>Recall latency p50

Every read<br>Merkle proofs issued

None. Zero.<br>Shared infrastructure

Live Demo<br>Watch the memory substrate live.<br>Real atoms. Real Merkle rehash cascades. Real Markov arc predictions. Connect to a live MMPM instance and watch memory form in real time.<br>See It Live

Get started today<br>Start in minutes.<br>Your AI will remember everything.<br>Dedicated substrate. Cryptographic proofs. Markov prediction.<br>Your own Merkle tree — not a row in someone else's database.<br>Get Your InstanceStarting at $5/month · 30-day money-back guarantee · Cancel anytime<br>Starter $5 · Solo $9 · Professional $29 · Team $79 · Enterprise Cloud $299 · Self-Hosted $499

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