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MemoryStar

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A local semantic memory MCP server for AI coding agents that provides persistent, searchable project knowledge including architecture notes, file symbols, git h

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About

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

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)

  1. Download or build dist/MemoryStar-Setup.exe (see dist/README.md)
  2. Requires Python 3.10–3.13 on PATH
  3. Run the installer → pick project folder → pick IDE
  4. Open project in IDE → Reload Window
  5. 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

Building the Windows installer

cd dist
.\build.ps1

Produces MemoryStar-Setup.exe and MemoryStar-Windows.zip.


Scopes

Use meaningful scope values when saving memories:

architecture · api · dependencies · patterns · decisions · bugs · notes · file-structure · git-history


Contributing

See CONTRIBUTING.md. Changelog: CHANGELOG.md.


License

MIT © 2026 Przemyslaw Lusina — see LICENSE.

from github.com/ussdeveloper/memory-star

Installing MemoryStar

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/ussdeveloper/memory-star

FAQ

Is MemoryStar MCP free?

Yes, MemoryStar MCP is free — one-click install via Unyly at no cost.

Does MemoryStar need an API key?

No, MemoryStar runs without API keys or environment variables.

Is MemoryStar hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install MemoryStar in Claude Desktop, Claude Code or Cursor?

Open MemoryStar on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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