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For teams building AI products

Give your product's AI a memory of every customer.

Myco is a self-hosted memory layer so your customer-facing AI knows purchase history, support history, and account context, without stuffing it all into every prompt. Source-backed, on your own Postgres.

AI features that don't know your customer don't get used.

Your AI forgets the customer
Every session starts cold. The model never builds on what it already knew about this account.
Token costs grow faster than value
Stuffing whole histories into every prompt is expensive and still misses the one relevant fact.
Product intelligence never compounds
What your AI learns evaporates between sessions instead of becoming durable, queryable knowledge.
See it in action

What your product's AI can do with customer memory.

No cold starts. Your AI knows the account on turn one, and pulls only the facts that matter into the prompt.

A returning customer opens support
What's going on with this account?

The AI pulls a token-budgeted context pack: purchase history, open tickets, and preferences, each source-linked, instead of stuffing whole records into the prompt.

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AI that knows the customer on turn one
No cold starts. Account history, preferences, and past resolutions are one query away, source-backed.
Token-budgeted context, not document dumps
Agents pull the precise facts that matter, so prompts stay small and costs stay flat as histories grow.
Intelligence that compounds
Every resolved ticket and decision becomes durable, queryable memory, so the product gets smarter with use instead of forgetting.
Industries

Where Myco is indispensable.

Pick your world. Here is what becomes possible for teams putting AI in production, in the industries where memory you can audit is a requirement, not a nice to have.

FinTech

Regulated

The problem: Regulators now demand a replayable audit trail for every AI decision.

What you can build

Give your product's AI a memory regulators accept: source-grounded, human-review-gated, and it never leaves your infrastructure.

Why Myco: Every decision traces to its source and rule via brain_why, the program writes the facts (no silent hallucination into the record), and it self-hosts so financial data never leaves your VPC.

Ingest. Retrieve. Compound.

01
Ingest your data
Drop in docs, support history, and account context, or bulk-ingest folders and repos. Everything lands in your own Postgres, keyless.
02
Retrieve token-budgeted context
Agents pull precise, source-backed context packs through one MCP server instead of whole documents on every prompt.
03
Compound it
Corroboration raises a fact's confidence, contradiction supersedes the old one, and brain_why traces every answer to its source.

Measured, not asserted

  • 73.6% end-to-end QA on the full 500-question LongMemEval oracle subset, no sampling.
  • recall@5 of 89.2% keyless with local embeddings, 91.6% with the recency reranker, on the full set.
  • Self-hosted on your own Postgres, so customer data stays in your infrastructure.
  • Token-budgeted context packs instead of whole documents in every prompt.
Context packs
token-budgeted, not whole docs
Your Postgres
customer data stays yours
brain_why
provenance on every answer

Build AI features that actually know your customer.

Self-host it free and wire your product's AI to one memory layer. Managed cloud is on the waitlist.

Myco for teams building AI products