🧠 MemoMind

Give your AI agent a brain that remembers.

A fully local, GPU-accelerated memory system for AI coding agents. Start building your digital twin's memory today — portable, evolving, and ready to migrate when a better system comes along.

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Two Kinds of AI Memory

AI memory has two audiences — the machine and the human. Most tools only address one:

	For the AI (what it knows)	For the Human (what you can review)
Goal	AI remembers preferences, decisions, context across sessions	You browse, search, and manage conversation history
Problem solved	"Why does it keep forgetting my coding style?"	"What did we discuss last Tuesday?"

MemoMind handles the AI side — it gives your coding agent persistent, structured, intelligent memory. For the human side, see Recall (our companion project for conversation history management).

Use both together for the complete experience.

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The Problem

You've spent thousands of hours with AI — but it remembers nothing.

• Your coding AI is a stranger every morning. You spent 20 minutes explaining your architecture, your tech stack decisions, your naming conventions. Session ends. Tomorrow? "Hi, I'm Claude. How can I help you today?" From scratch. Again.
• Your ChatGPT/Gemini conversations are a graveyard. Hundreds of deep discussions — career advice, research brainstorms, debugging sessions — sitting in separate silos, unsearchable, unconnected, slowly forgotten by you too.
• Your daily life is invisible to AI. You tracked 5,000+ days of activities, habits, and achievements in your planner. Your AI knows none of it. It can't say "Last time you worked on this topic was 3 months ago" or "You tend to be most productive on Tuesday mornings."

The problem isn't intelligence — GPT-5, Claude, Gemini are brilliant. The problem is amnesia. Every session is a blank slate. Every AI is an isolated silo. Your years of digital life produce zero compounding value.

What if your AI could remember everything? Not just this session — but every conversation you've ever had, every decision you've made, every day you've lived?

Why Not Just Use CLAUDE.md?

Claude Code already has CLAUDE.md and MEMORY.md. But they have fundamental limitations:

	Claude Code Built-in	MemoMind
Storage	Plain Markdown files	PostgreSQL + pgvector + knowledge graph
Extraction	Manual — you write rules yourself	Automatic — LLM extracts facts from conversations
Retrieval	Full file loaded into context every time (wastes tokens)	4-way hybrid search, only relevant memories recalled
Cross-session	Static rules; append-only notes	Dynamic knowledge graph with entity linking + temporal relationships
Reasoning	No — just loads text	reflect synthesizes insights across all memories
Scalability	Breaks down at ~200 lines (context bloat)	Handles thousands of memories efficiently

They're complementary, not competing. CLAUDE.md is great for static project rules ("use tabs, not spaces"). MemoMind handles the dynamic knowledge that accumulates over time ("user tried Redis caching last week but switched to Memcached due to memory constraints").

The Solution