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Mascaraneous / Memory-palace-for-ai-by-mila-jovovic

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Memory palace for AI by milla jovovich (mempalace)

28
6
100% credibility
Found Apr 13, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

MemPalace is a free, local tool that organizes chats, notes, and project files into a searchable memory palace for AI assistants.

How It Works

1
💡 Discover MemPalace

You learn about a free tool that helps your AI assistant remember every chat, decision, and project detail without losing anything.

2
🛠️ Get it ready

Download and set up with one easy step on your computer – everything stays local and private.

3
🏠 Introduce your world

Share details about your projects, team, and important people so it understands your life.

4
📂 Add your memories

Point it to your chat logs, notes, and project folders – it sorts everything into neat rooms automatically.

5
🔍 Find anything fast

Ask about a past decision like 'why GraphQL?' and get the exact words from before.

6
🤖 Supercharge your AI

Connect it to your AI helper – now it recalls months of history in seconds.

🎉 AI never forgets

Your assistant thinks with full context, saving hours of re-explaining and making you more productive.

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AI-Generated Review

What is Memory-palace-for-ai-by-mila-jovovic?

MemPalace turns your AI conversations and project files into a searchable "memory palace," inspired by the memory palace technique from ancient orators and popularized in books like Hari Kunzru's Memory Palace. It mines chats from Claude, ChatGPT, or Slack exports—plus code and docs—into wings (people/projects), halls (memory types like decisions or events), and rooms (topics), solving the problem of AIs forgetting months of context across sessions. Built in Python with ChromaDB for local vector search, it offers CLI commands like `mempalace mine ~/chats --mode convos` and `mempalace search "GraphQL switch"`, plus MCP tools for memory github copilot integration.

Why is it gaining traction?

It crushes benchmarks like LongMemEval at 96.6% recall (raw, zero APIs)—top free score—thanks to palace structure boosting retrieval 34% over flat search, and AAAK dialect compressing context 30x losslessly for any LLM. Unlike github memory managers or limit workarounds, it's fully local with no cloud, auto-hooks for unattended saves, and works offline via `mempalace wake-up` for ~170-token context loads. Devs dig the MCP server exposing 19 tools like semantic search and knowledge graph queries.

Who should use this?

Solo devs juggling multiple projects via AI chats, needing to recall "why Postgres here?" across repos. Team leads mining Slack/Claude threads for decisions without Jira sprawl. Anyone hitting github memory limits in Copilot sessions, wanting a github memory scanner for system.memory persistence.

Verdict

Grab it if persistent AI memory fits your workflow—CLI and MCP make it dead simple to test. At 19 stars and 1.0% credibility, it's beta-raw with solid docs/benchmarks but light tests; fork and contribute if you commit.

(198 words)

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