AI Memory Brain is now in public beta — first 50 Blueprint buyers get founding member pricing ($297 vs $497) Get founding pricing ↗
AI Memory Brain

Give your AI
a memory it keeps.

Every AI session starts blank. Your context, decisions, and project history vanish the moment the conversation ends. AI Memory Brain fixes that.

A git-backed, structured memory system that gives any AI assistant full project context — from the first message, every session, forever. Works with Claude, GPT, Gemini, or any LLM.

Book a demo ↗
Works with
Claude (Anthropic) GPT-4 / o3 Gemini Claude Code Any LLM with file access

Your AI resets.
Your work shouldn't.

Every session with an AI assistant starts from zero. Teams spend 15–40 minutes per session manually re-explaining context. Decisions get repeated. Bugs get reintroduced. Knowledge walks out the door.

AI Memory Brain stores your project context in structured markdown files, committed to git. Any AI can load it in 60 seconds. You never repeat yourself again.

Problem 1
Stateless sessions waste 15–40 min/day
Every conversation restart means re-loading context, re-establishing tone, re-explaining what you're building. At scale, this compounds into thousands of wasted hours per year.
Problem 2
Decisions and learnings disappear
Every architectural decision, failed approach, and strategic pivot lives only in your head. When the next session starts — or a new team member joins — none of that knowledge transfers.
Problem 3
No continuity across AI models
Switch from Claude to GPT and start over. AI Memory Brain is model-agnostic — your context loads into any assistant without configuration or re-setup.

Three tiers. Lazy loaded.
Git-backed. Forever.

01

Store context in markdown

Your project knowledge lives in structured markdown files — Master-AI-Context.md, Key-Decisions.md, Sessions.md, Risk-Registry.md, and more. Plain text, git-versioned, forever readable.

02

Load on demand with open.md

Each session begins by running open.md. Tier 1 loads always. Tier 2 loads on keyword match. Tier 3 loads only when actively needed. No context window waste.

03

Close and commit with closure.md

Every session ends by running closure.md. Decisions are logged, indexes are updated, and git push archives everything. The next session inherits it all automatically.

04

Domain expert agents

19 domain agents (Finance, Marketing, Legal, Strategy, Sales, and more) route to the right expertise for the right task — deployed into each project's department folders.

05

Model-agnostic by design

Claude, GPT, Gemini — your memory system is model-agnostic. Switch between AI assistants without losing a single decision, session note, or agent configuration.

06

Scales across your portfolio

One system manages unlimited concurrent projects. Each project has its own workspace. A root-level index tracks your full portfolio — decisions, risks, and next steps in one place.

Three tiers.
One system.

Start with the Blueprint and build it yourself, or let us implement it for your business — from setup to ongoing maintenance.

Self-setup

DIY Blueprint

$497 $297 Founding  one-time
The complete AI Memory Brain methodology, architecture, and template system. Everything you need to implement persistent AI memory yourself — from day one.
  • AI Memory Brain methodology guide
  • Full architecture documentation
  • Open & closure protocol templates
  • 19-agent domain library
  • Setup walkthrough video series
  • Discord community access
  • CC/DE + ACS operating standards
  • Implementation support
  • Custom project setup
  • Monthly maintenance
Managed Setup

Done-For-You

$5,000 setup + $2,000/mo · min 3 months
We implement the full system for your business. Custom configuration, agents deployed, standards set — then we maintain it monthly so your AI memory compounds over time.
  • Everything in DIY Blueprint
  • Custom implementation for your business
  • Up to 3 projects configured
  • 10 domain agents deployed
  • Standards configured for your org
  • Monthly maintenance & updates
  • Priority support
  • Quarterly strategy review
  • Dedicated engineer
  • Unlimited projects
Book a discovery call
Dedicated Support

Enterprise

$25,000–$100,000 / custom
Full enterprise implementation across all departments. Custom agent development, security review, IT/governance integration, and a dedicated success manager.
  • Everything in Done-For-You
  • Full enterprise-wide implementation
  • Custom agent development
  • Security review & documentation
  • IT / governance integration
  • Dedicated success manager
  • SLA-backed support
  • Model-agnostic (no vendor lock-in)
  • Unlimited projects
  • Roadmap influence
Get a demo
Ongoing Access

Community

$97/mo or $797/yr 2 months free
A recurring membership for AI-native operators — templates, education, peer accountability, and early access to every AMB update as the methodology evolves.
  • All Blueprint template updates
  • Weekly live sessions & Q&As
  • Peer operator community
  • Early access to new agents
  • Monthly AMB methodology drops
  • Private Discord access
  • Custom implementation
  • 1:1 support
  • Managed maintenance
Join Community

How does AI Memory Brain
stack up?

Choose a tool below and see a head-to-head breakdown. Every major memory approach — from native model memory to developer APIs — compared on the attributes that matter.

AI Memory Brain Wins
Structured, model-agnostic, git-backed institutional knowledge — organized by project and department across unlimited workflows.
Target UserOperators & Teams
Memory TypeStructured Markdown
Version Control✓ Git-backed
Session Protocol✓ open.md + closure.md
Project Structure✓ Departmental
Model Agnostic✓ Any LLM
Human Readable✓ Plain Markdown
Decision Index✓ Keyword searchable
PricingFrom $297 (founding) · $497 std
ChatGPT Memory Consumer-grade
Flat text snippets extracted from conversations. Remembers your preferences. 200M user install base but no project architecture.
Target UserConsumers / Prosumers
Memory TypeFlat text snippets
Version Control✗ None
Session Protocol✗ None
Project Structure✗ Single pool
Model Agnostic✗ OpenAI only
Human Readable✗ Opaque
Decision Index✗ None
Pricing$20/mo (bundled)
AI Memory Brain vs. ChatGPT Memory
ChatGPT Memory remembers your coffee preference. AI Memory Brain remembers your entire project architecture, every decision ever made, every risk ever identified, and which agent to load for which task — across 10 projects simultaneously.
AI Memory Brain Wins
Full session lifecycle with open/closure protocols, keyword-indexed decision trail, departmental structure, and model-agnostic portability.
Target UserOperators & Teams
Memory TypeStructured Markdown
Version Control✓ Git-backed
Session Protocol✓ open.md + closure.md
Project Structure✓ Departmental folders
Model Agnostic✓ Claude, GPT, Gemini…
Decision Index✓ Key-Decisions.md
Risk Registry✓ Built-in
PricingFrom $297 (founding) · $497 std
Claude Memory Protocol missing
3-layer architecture (chat/project/API). CLAUDE.md is the closest native equivalent — but still a flat file with no lifecycle protocol or decision indexing.
Target UserConsumers + Devs
Memory Type3-layer: chat/project/API
Version Control✗ Manual only
Session Protocol✗ None enforced
Project Structure~ Partial (CLAUDE.md)
Model Agnostic✗ Claude only
Decision Index✗ None
Risk Registry✗ None
Pricing$20/mo (bundled)
AI Memory Brain vs. Claude Memory
Claude Memory gives you a CLAUDE.md file. AI Memory Brain gives you a full operating system — session lifecycle, decision indexing, risk registry, departmental organization, and model-agnostic portability. CLAUDE.md is a scratchpad. AI Memory Brain is institutional knowledge.
AI Memory Brain Wins
Structured, version-controlled, protocol-governed memory that works across any AI model — not locked into Google's ecosystem.
Target UserOperators & Teams
Memory TypeStructured Markdown
Version Control✓ Git-backed
Session Protocol✓ Full lifecycle
Project Structure✓ Departmental
Model Agnostic✓ Any LLM
Audit Trail✓ Git history
Multi-project✓ Unlimited
PricingFrom $297 (founding) · $497 std
Gemini Memory Ecosystem lock-in
Preference and fact extraction from conversations, with Google ecosystem integration. Announced memory import from competitors (March 2026) — but same structural limits.
Target UserConsumers
Memory TypeFlat text snippets
Version Control✗ None
Session Protocol✗ None
Project Structure✗ None
Model Agnostic✗ Google only
Audit Trail✗ None
Multi-project✗ Single pool
Pricing$19.99/mo (bundled)
AI Memory Brain vs. Gemini Memory
Gemini Memory knows what workspace you prefer. AI Memory Brain knows every decision your team made, every risk you identified, and which agent to use for which task — and it works equally well in Gemini, Claude, or ChatGPT. No Google account required.
AI Memory Brain Different category
Operational memory for teams. No infrastructure, no API, no engineering team required. Memory your non-technical operators can read, edit, and own.
Target UserOperators & Teams
Setup✓ Zero infrastructure
Human Readable✓ Plain Markdown
Session Protocol✓ Standardized
Decision Index✓ Keyword searchable
Version Control✓ Git audit trail
Vendor Dependency✓ None — self-hosted
Departmental Org✓ Full structure
PricingFrom $297 (founding) · $497 std
Mem0 Dev API only
Universal memory API — vector + graph + key-value. AWS exclusive partner. 48K+ GitHub stars. Best-in-class for developer apps. $24M funding. But entirely developer-facing.
Target UserDevelopers
Setup✗ Engineering required
Human Readable✗ Opaque vector store
Session Protocol✗ None
Decision Index✗ None
Version Control✗ No git trail
Vendor Dependency✗ Requires Mem0 infra
Departmental Org✗ Flat memory pool
PricingFree → $249/mo
AI Memory Brain vs. Mem0
Mem0 is the memory layer for your app. AI Memory Brain is the memory layer for your operations. Mem0 remembers what your users told their chatbot. AI Memory Brain remembers every architectural decision, every risk, every session — organized by project and department, readable by humans, version-controlled forever.
AI Memory Brain Wins on governance
Knows not just what changed — but why it changed, who decided it, what project it affects, and which risk it mitigated. Readable by any human or AI, forever.
Target UserOperators & Teams
Memory TypeStructured Markdown
Why decisions changed✓ Key-Decisions.md
Human Readable✓ Plain Markdown
Self-hostable✓ Git repo
Session Protocol✓ Standardized
Non-dev accessible✓ No coding needed
PricingFrom $297 (founding) · $497 std
Zep / Graphiti Dev-only
Temporal knowledge graph — best-in-class accuracy (63.8% LongMemEval). Knows when facts changed. But cloud-only, developer-only, no session protocol, no project structure.
Target UserDevelopers
Memory TypeTemporal knowledge graph
Why decisions changed✗ Knows when, not why
Human Readable✗ Opaque graph
Self-hostable✗ Cloud-only (deprecated OSS)
Session Protocol✗ None
Non-dev accessible✗ Engineering required
Pricing$25/mo Flex + Enterprise
AI Memory Brain vs. Zep
Zep knows that a fact changed at a specific date. AI Memory Brain knows why the decision was made, who approved it, what risk it mitigated, and which project it affects — and any AI can load that context in 30 seconds.
AI Memory Brain Wins on accessibility
Any agent, on any model, in any session, can instantly inherit your full operational context — without retraining, without infrastructure, and without an engineering team.
Target UserOperators & Teams
Memory governance✓ Human-controlled
Cross-project✓ Unlimited projects
Model Agnostic✓ Any LLM
Non-dev accessible✓ No coding needed
Predictable✓ Protocol-enforced
Version Control✓ Git-backed
PricingFrom $297 (founding) · $497 std
Letta Requires engineering
UC Berkeley origin. Agents manage their own memory state blocks — autonomous, white-box, self-improving. Powerful for developers. Inaccessible to operators. $10M funded.
Target UserDevelopers
Memory governance✗ Agent-managed (unpredictable)
Cross-project✗ Isolated per agent
Model Agnostic~ Partial (Letta runtime)
Non-dev accessible✗ Engineering required
Predictable✗ Agents can corrupt state
Version Control✗ None
PricingFree + Letta Cloud
AI Memory Brain vs. Letta
Letta gives your agent a brain that remembers itself. AI Memory Brain gives your entire operation a brain that any agent, on any model, in any session, can instantly inherit — without retraining, without infrastructure, and without an engineering team.
AI Memory Brain The upgrade path
The productized, governed, scalable version of what CLAUDE.md is trying to be. Same philosophy — markdown files — with everything the convention is missing.
Session Protocol✓ open.md + closure.md
Decision Index✓ Key-Decisions.md
Risk Registry✓ Risk-Registry.md
Session Tracking✓ Sessions.md
Project Structure✓ Departmental folders
Version Control✓ Git-enforced
Agent Library✓ 19 domain agents
Model Agnostic✓ Any LLM
CLAUDE.md Convention The primitive
The right instinct — structured context in a markdown file loaded at session start. Native to Claude Code and OpenClaw. But a convention, not a system.
Session Protocol✗ No standardized lifecycle
Decision Index✗ None
Risk Registry✗ None
Session Tracking✗ None
Project Structure✗ Single flat file
Version Control~ Optional (discipline-dependent)
Agent Library✗ None
Model Agnostic✓ Any LLM
AI Memory Brain vs. CLAUDE.md
That's exactly the right instinct — and you've already done the hard part, which is deciding that structured context matters. AI Memory Brain is what CLAUDE.md looks like when it has a session lifecycle, a decision index, a risk registry, and a closure protocol. You can migrate your existing files in an afternoon.
"The biggest bottleneck in AI-assisted work isn't the model — it's the 15–40 minutes you spend re-briefing it every session. AI Memory Brain eliminates that entirely. Your AI compounds. Your knowledge stays."
Hassan Wilson — Founder, AI Memory Brain & Provecta Group

Frequently asked questions

AI Memory Brain is a persistent memory architecture for AI assistants. It structures your project knowledge — decisions, architecture, session history, agent configurations, risks — into a three-tier, lazy-loading, git-backed system. Any AI model can load full context in 60 seconds at the start of any session and pick up exactly where the last one left off.
Any AI assistant that can read files — Claude (including Claude Code and Cowork), GPT-4/o3, Gemini, and any LLM with file access. The system is model-agnostic by design. Your memory files are plain markdown — no proprietary format, no vendor lock-in.
No. If you can use a file system and follow written instructions, you can run the Blueprint yourself. The Done-For-You and Enterprise tiers exist for teams who want the system fully implemented and maintained without touching files themselves.
Notes documents aren't structured for AI consumption. AI Memory Brain uses a 3-tier lazy-loading architecture so the AI reads only what it needs, when it needs it — no context window bloat. It also includes session lifecycle protocols (open.md + closure.md), a keyword-indexed decision log, domain expert agents, and git-backed versioning. It's a system, not a document.
Your memory files live in your own git repository — private or public, your choice. Credentials, API keys, and sensitive data are git-ignored by default. You own your data entirely. We never see it.
Yes. The system is designed for multi-project portfolios. Each project gets its own independent workspace with its own memory, agents, and session tracking. A root-level index keeps your full portfolio organized with a single source of truth.
The first 50 Blueprint buyers get the full system at $297 (vs. the standard $497). This includes a 1:1 implementation review call with Hassan personally. Founding members also get priority access to future updates and a spot in the founding members Discord community.

Build the AI workflow
you actually want.

Stop re-briefing your AI every session. AI Memory Brain gives your assistant the context it needs — permanently.

Talk to us about Done-For-You ↗