Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Give your AI agent a brain that remembers. Local memory system for Claude Code — 100% private, GPU-accelerated, zero cloud dependency.
| Date | Stars |
|---|---|
| 2026-07-31 | 697 |
| 2026-08-06 | 696 |
| 2026-08-14 | 652 |
| 2026-08-18 | 612 |
| 2026-08-20 | 612 |
| 2026-08-22 | 610 |
| 2026-08-24 | 609 |
| 2026-08-28 | 610 |
| 2026-08-30 | 611 |
| 2026-09-10 | 611 |
| 2026-09-15 | 610 |
| 2026-09-16 | 611 |
| 2026-09-25 | 610 |
| 2026-09-26 | 605 |
| 2026-09-27 | 604 |
| 2026-10-14 | 603 |
| 2026-10-16 | 603 |
| 2026-10-17 | 603 |
| 2026-10-18 | 604 |
| 2026-10-19 | 604 |
| 2026-10-21 | 604 |
| 2026-10-22 | 603 |
| 2026-10-24 | 602 |
| 2026-10-26 | 603 |
| 2026-11-01 | 604 |
| 2026-11-04 | 602 |
Today
-2 stars today
This week
-1 stars this week
This month
-2 stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
# 🧠 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.*
[](LICENSE)
[](https://mseep.ai/app/24kchengye-memomind)
[](https://github.com/24kchengYe/MemoMind#quick-start)
[](https://github.com/pgvector/pgvector)
[-blue)](https://modelcontextprotocol.io/)
[](https://developer.nvidia.com/cuda-toolkit)
[English](#two-kinds-of-ai-memory) | [中文](#两种-ai-记忆)
</div>
---
## 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](https://github.com/24kchengYe/Recall) (our companion project for conversation history management).
**Use both together for the complete experience.**
---
## 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 ("usExcerpt of 44,154 characters
Read on GitHub
89
MseeP.ai · SkyDeck AI Inc. · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1547b896f2207c0c, topic:llm
matched fp:1547b896f2207c0c, topic:memory
matched fp:1547b896f2207c0c, topic:mcp