MCP 服务器

MemoryStar

A local semantic memory MCP server for AI coding agents that provides persistent, searchable project knowledge including architecture notes, file symbols, git history, progress tracking, and a knowledge graph, all stored locally.

README

MemoryStar

Local semantic memory MCP server for AI coding agents — Cursor, VS Code / GitHub Copilot, and OpenCode.

MemoryStar gives your agent persistent, searchable project knowledge: architecture notes, file symbols, git history, progress tracking, and a knowledge graph — all stored locally (SQLite + ChromaDB).

Repository: github.com/ussdeveloper/memory-star
License: MIT
Author: Przemyslaw Lusina

Features

33 MCP tools — save, search (FTS5 + vectors), link, archive, sync, and more
Per-file tracking — SHA256 change detection, symbol extraction, descriptions
Knowledge graph — relationships between memories (depends_on, implements, …)
Auto-sync — background watcher + Cursor hooks after every edit
Web dashboard — graph view, browse, semantic search (http://127.0.0.1:7988)
Windows installer — one-click setup into any project folder
Privacy-first — all data stays on your machine

Quick start

Option A — Install into your project (Windows)

Download or build dist/MemoryStar-Setup.exe (see dist/README.md)
Requires Python 3.10–3.13 on PATH
Run the installer → pick project folder → pick IDE
Open project in IDE → Reload Window
Dashboard: http://127.0.0.1:7988

Installed layout:

your-project/
  .memorystar/          # server, venv, database
    data/               # SQLite + ChromaDB
    server.py
    .venv/
  .cursor/mcp.json      # or .vscode/mcp.json
  AGENTS.md

Option B — Run from source (this repo)

git clone https://github.com/ussdeveloper/memory-star.git
cd memory-star
python -m venv .venv
.venv/Scripts/activate          # Windows
pip install -r requirements.txt

Copy examples/dev-cursor.mcp.json → .cursor/mcp.json (or VS Code equivalent — see examples/README.md).

python server.py

MCP tools (overview)

Category	Tools
Core	`memory_save`, `memory_load`, `memory_update`, `memory_search`, `memory_archive`
Graph	`memory_link`, `memory_get_links`
Files	`memory_update_file_structure`, `memory_get_file_info`, `memory_list_files`
Hooks	`memory_check_for_changes`, `memory_process_changes`
Orchestration	`memory_sync_project`, `memory_suggest_scan`
Git	`memory_git_history`
Watcher	`memory_start_watcher`, `memory_stop_watcher`
Progress	`memory_track_progress`, `memory_progress_update`, `memory_get_progress`
Changelog	`memory_changelog_add`, `memory_changelog_get`, `memory_changelog_trends`
Maintenance	`memory_clear`, `memory_restore`, `memory_list_backups`, `memory_stats`, `memory_trends`

Full tool reference is in the server docstring and AGENTS.md.

Agent workflow (recommended)

Session start  →  memory_suggest_scan(project_path=".")
After edits    →  memory_check_for_changes → memory_process_changes (if changed)
Save knowledge →  memory_save(key=..., scope="architecture|api|decisions|...")
Before task    →  memory_search(query=..., mode="combined")

Architecture

Agent (MCP client)
    │
    ├── stdio ── MemoryStar MCP Server (server.py)
    │              ├── SQLite + FTS5
    │              ├── ChromaDB (vectors)
    │              ├── file_structure + memory_links
    │
    ├── HTTP :9120 ── Webhook (watcher, context monitor)
    │
    └── HTTP :7988 ── UI dashboard

Configuration

Key environment variables (set in .cursor/mcp.json or .vscode/mcp.json):

Variable	Description	Default
`MEMORYSTAR_DATA_DIR`	Database directory	`./data` (dev) or `.memorystar/data` (install)
`MEMORYSTAR_PROJECT_PATH`	Workspace root to watch	—
`MEMORYSTAR_AUTO_SYNC`	Sync on MCP startup	`1`
`MEMORYSTAR_AUTO_WATCH`	Background file watcher	`1`
`MEMORYSTAR_UI_PORT`	Dashboard port	`7988`
`MEMORYSTAR_ENABLE_*`	Per-feature toggles	all `1`

See README configuration section below for full list.

Feature toggles

Flag	Tools
`MEMORYSTAR_ENABLE_CORE`	save, load, update, search
`MEMORYSTAR_ENABLE_FILE_STRUCTURE`	file scan, symbols, change hooks
`MEMORYSTAR_ENABLE_SYNC`	`memory_sync_project`
`MEMORYSTAR_ENABLE_WATCHER`	start/stop watcher

All flags documented in AGENTS.md.

UI dashboard

Open http://127.0.0.1:7988 when the MCP server is running.

Browse — memories, files, scopes, project tree
Graph — force-directed knowledge graph
Search — semantic + full-text
Guide — built-in agent instructions

Project structure

memory-star/
  server.py           MCP server + webhook + UI
  database.py           SQLite + ChromaDB layer
  config.py             Environment configuration
  ui.html               Dashboard (single file)
  requirements.txt
  AGENTS.md             Agent instructions (copy to projects)
  examples/             MCP config templates
  dist/                 Windows installer + build scripts
  .cursor/hooks/        Cursor hook scripts