Memory that remembers.

A neurobiology-inspired memory layer for AI agents. Drop it in via MCP or API — your agent starts building real context in a single session.

WORKINGEPISODICEMOTIONALPROCEDURALMOTORSEMANTIC

Built on neurobiology

Not a database. A memory system.

Databases store. Brains remember — selectively, with context, associatively. BrainAI is the second one.

Episodic + semantic

Your agent stores moments and the meaning it consolidates from them — the way a brain does.

Drop-in via MCP

One JSON config and any MCP-compatible agent — Claude, Cursor, Zed — starts remembering.

Associative recall

Traces surface by context, not keyword. Ask sideways, find the right memory.

Decay & reinforcement

Low-signal memories fade on a power-law curve. High-signal ones consolidate into long-term.

Full inspection

A graph-native dashboard lets you audit, edit, and redact any memory — with lineage.

Yours, portable

Export the graph as JSONL or SQL. Self-host the MCP server. No lock-in.

How it works

Three steps to an agent that remembers.

01

Install the MCP server

One command — or self-host. Point your agent at it.

02

Your agent stores moments

Every exchange becomes an episodic trace, timestamped and tagged.

03

Recall happens associatively

Ask naturally. BrainAI walks the memory graph and returns what matters.

$ npx @brainai/mcp install
$ export BRAIN_API_KEY=sk_brain_...
# Agent ready.

Architecture

Six memory types, like a brain.

Working, episodic, semantic, procedural, personal, prospective. Same scaffolding the human brain uses — built into your agent.

WorkingWorking
What's in context right now.
EpisodicEpisodic
What happened — sessions, events, conversations.
SemanticSemantic
What you know — facts, entities, concepts.
ProceduralProcedural
What you can do — auto-skills from repeated patterns.
PersonalPersonal
Who you are — preferences, voice, identity.
ProspectiveProspective
What you intend — future plans, time-tagged reminders.

* Theoretical foundation: Complementary Learning Systems (McClelland, 1995) and the CoALA cognitive architecture (Princeton, 2023). The first commercial implementation that ships a prospective layer.

For you

Your AI, on your terms.

01 · Switch mid-project

One conversation, every model.

Open Claude. Open ChatGPT. Open Cursor. The project is the same. Your context comes with you.

02 · Your defaults

Your assistant, not theirs.

It calls you by name. Knows you don't drink coffee after 3pm. Knows your music. Because you said so once.

03 · Yours to keep

Your memory, your file.

Export the graph as JSON, today. Self-host the server, today. No vendor owns your second brain.

Pricing

Pay for memories, not minutes.

Every plan includes the full memory model — episodic, semantic, procedural, working. Scale only what you use.

Hobby

Free

For solo builders and weekend agents.

  • 10k recalls / month
  • 1 agent
  • 7-day memory horizon
  • Community support
Join the waitlist

Scale

Custom

For teams with agents in production.

  • Unlimited recalls
  • SSO + audit logs
  • Self-hosted option
  • SLA + Slack channel
  • Dedicated engineer
Talk to us

Join the waitlist

Be early. Shape the product.

Closed alpha for 50 power-users in Q3 2026. Drop your email and tell us what you'd use it for.

Already 200+ engineers and writers from MIPT, Skolkovo and YC alumni.