Local-first AI memory system — 96.6% R@5 trên LongMemEval, verbatim storage (không lossy summary), MCP server 29 tools, ChromaDB/Qdrant/pgvector backends. Zero API calls.
Scanned 9/9/2026
Install to Claude Code
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---
name: mempalace--mempalace
description: "Local-first AI memory system — 96.6% R@5 trên LongMemEval, verbatim storage (không lossy summary), MCP server 29 tools, ChromaDB/Qdrant/pgvector backends. Zero API calls."
allowed-tools: Bash, Read, Write
user-invocable: true
---
MemPalace: hệ thống bộ nhớ AI local-first, benchmark cao nhất open-source — lưu verbatim (không tóm tắt), retrieval theo không gian (wing/room/drawer).
## Install
```bash
uv tool install mempalace
# hoặc
pipx install mempalace
```
## Cách dùng
```bash
# Index project hoặc Claude Code conversation archives
mempalace mine ./project/
# Semantic search
mempalace search "database migration strategy"
# Load context cho session mới
mempalace wake-up
```
## Architecture
```
Palace structure:
Wing — người, project (top-level namespace)
Room — topic trong wing
Drawer — content gốc verbatim
Backends:
ChromaDB (default, local)
SQLite (exact match, correctness verification)
Qdrant (REST external)
pgvector (PostgreSQL)
```
## MCP Server
```json
{
"mcpServers": {
"mempalace": {
"command": "mempalace",
"args": ["mcp"]
}
}
}
```
29 tools: palace operations, cross-wing navigation, agent diaries, search.
## Performance
```
96.6% R@5 on LongMemEval — zero API calls (embedding only)
98.4% R@5 — hybrid pipeline (keyword + temporal boost)
>99% — với LLM reranking (Claude/Ollama compatible)
```
## Tính năng nổi bật
- **Verbatim storage** — không lossy extraction, không paraphrase
- **Knowledge graph** — temporal entity-relationship với validity windows
- **Auto-save hooks** — periodic save + pre-compression backup cho Claude Code
- **Agent diaries** — per-agent wings riêng, runtime discovery
- **Privacy** — không có gì rời máy trừ khi opt-in
## So với Memory OS
| | MemPalace | Memory OS |
|--|---------|-----------|
| Storage | Verbatim | Summarized |
| Benchmark | 96.6% LongMemEval | N/A |
| Backends | 4 pluggable | Qdrant only |
| MCP tools | 29 | 16 |
| Layers | 1 (palace metaphor) | 7 |
## Source
https://github.com/MemPalace/mempalace · MIT · +446⭐ today
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