Graphmemory
FreeNot checkedAn MCP server that builds a semantic graph memory from a project directory, indexing documentation and code into graph structures and exposing 70+ MCP tools for
About
An MCP server that builds a semantic graph memory from a project directory, indexing documentation and code into graph structures and exposing 70+ MCP tools for search, knowledge management, task management, and more.
README
An MCP server that builds a semantic graph memory from a project directory. Indexes markdown docs, TypeScript/JavaScript source code, and all project files into graph structures, then exposes them as 70 MCP tools + REST API + Web UI.

Quick start
npm install -g @graphmemory/server
cd /path/to/my-project
graphmemory serve
That's it. No config file needed — the current directory becomes your project. Open http://localhost:3000 for the web UI.
The embedding model (~560 MB) downloads on first startup and is cached at ~/.graph-memory/models/.
Connect an MCP client
Claude Code:
claude mcp add --transport http --scope project graph-memory http://localhost:3000/mcp/my-project
Claude Desktop — add via Settings > Connectors, enter the URL:
http://localhost:3000/mcp/my-project
Cursor / Windsurf / other clients — enter the URL directly in settings:
http://localhost:3000/mcp/my-project
The project ID is your directory name. Multiple clients can connect simultaneously.
With a config file
For multi-project setups, custom embedding models, auth, or workspaces — create graph-memory.yaml:
projects:
my-app:
projectDir: "/path/to/my-app"
docs-site:
projectDir: "/path/to/docs"
graphs:
code:
enabled: false
graphmemory serve --config graph-memory.yaml
See docs/configuration.md for full reference and graph-memory.yaml.example for all options.
Docker
docker run -d \
--name graph-memory \
-p 3000:3000 \
-v $(pwd)/graph-memory.yaml:/data/config/graph-memory.yaml:ro \
-v /path/to/my-app:/data/projects/my-app:ro \
-v graph-memory-models:/data/models \
ghcr.io/graph-memory/graphmemory-server
Docker Compose:
services:
graph-memory:
image: ghcr.io/graph-memory/graphmemory-server
ports:
- "3000:3000"
volumes:
- ./graph-memory.yaml:/data/config/graph-memory.yaml:ro
- /path/to/my-app:/data/projects/my-app
- models:/data/models
restart: unless-stopped
depends_on:
redis:
condition: service_healthy
redis:
image: redis:7-alpine
restart: unless-stopped
volumes:
- redis-data:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 3s
retries: 3
volumes:
models:
redis-data:
Redis is optional. Remove the
redisservice anddepends_onif you don't need shared session store or embedding cache.
See docs/docker.md for details.
What it does
| Feature | Description |
|---|---|
| Docs indexing | Parses markdown into heading-based chunks with cross-file links and code block extraction |
| Code indexing | Extracts AST symbols (functions, classes, interfaces) via tree-sitter |
| File index | Indexes all project files with metadata, language detection, directory hierarchy |
| Knowledge graph | Persistent notes and facts with typed relations and cross-graph links |
| Task management | Kanban workflow with priorities, assignees, and cross-graph context |
| Skills | Reusable recipes with steps, triggers, and usage tracking |
| Hybrid search | BM25 keyword + vector cosine similarity with BFS graph expansion |
| Real-time | File watching + WebSocket push to UI |
| Multi-project | One process manages multiple projects from a single config |
| Workspaces | Share knowledge/tasks/skills across related projects |
| Auth & ACL | Password login (JWT), API keys, OAuth 2.0 (PKCE), 4-level access control |
70 MCP tools
| Group | Tools |
|---|---|
| Context | get_context |
| Docs | docs_list_files, docs_get_toc, docs_search, docs_get_node, docs_search_files, docs_find_examples, docs_search_snippets, docs_list_snippets, docs_explain_symbol, docs_cross_references |
| Code | code_list_files, code_get_file_symbols, code_search, code_get_symbol, code_search_files |
| Files | files_list, files_search, files_get_info |
| Knowledge | notes_create, notes_update, notes_delete, notes_get, notes_list, notes_search, notes_create_link, notes_delete_link, notes_list_links, notes_find_linked, notes_add_attachment, notes_remove_attachment |
| Tasks | tasks_create, tasks_update, tasks_delete, tasks_get, tasks_list, tasks_search, tasks_move, tasks_reorder, tasks_link, tasks_create_link, tasks_delete_link, tasks_find_linked, tasks_add_attachment, tasks_remove_attachment |
| Epics | epics_create, epics_update, epics_delete, epics_get, epics_list, epics_search, epics_link_task, epics_unlink_task |
| Skills | skills_create, skills_update, skills_delete, skills_get, skills_list, skills_search, skills_recall, skills_bump_usage, skills_link, skills_create_link, skills_delete_link, skills_find_linked, skills_add_attachment, skills_remove_attachment |
Web UI
Dashboard, Knowledge (notes CRUD), Tasks (kanban board with drag-drop), Skills (recipes), Docs browser, Code browser (symbols, edges, source), Files browser, Prompts (AI prompt generator), Search (cross-graph), Tools (MCP explorer), Help.
Light/dark theme. Real-time WebSocket updates. Login page when auth is configured.
Authentication
users:
alice:
name: "Alice"
email: "[email protected]"
apiKey: "mgm-key-abc123"
passwordHash: "$scrypt$65536$..." # generated by: graphmemory users add
server:
jwtSecret: "your-secret"
defaultAccess: rw
redis: # optional: session store + embedding cache
enabled: true
url: "redis://localhost:6379"
- UI login: email + password → JWT cookies (httpOnly, SameSite=Strict)
- API access:
Authorization: Bearer <apiKey> - OAuth 2.0: Authorization Code + PKCE (S256) with frontend consent page at
/ui/auth/authorize; also supports client credentials and refresh tokens - OAuth endpoints:
/api/oauth/userinfo,/api/oauth/introspect,/api/oauth/revoke,/api/oauth/end-session - ACL: graph > project > workspace > server > defaultAccess (
deny/r/rw) - Redis (optional): when
server.redisis configured, used for OAuth session store and embedding cache
Development
npm run dev # tsc --watch (backend)
cd ui && npm run dev # Vite on :5173, proxies /api → :3000
npm test # 1809 tests across 45 suites
Documentation
Full documentation is in docs/:
- Concepts: docs indexing, code indexing, tasks, skills, knowledge, file index
- Architecture: system architecture, graphs overview, search algorithms, embeddings
- API: REST API, MCP tools guide, WebSocket
- Operations: CLI, configuration, Docker, npm
- Security: authentication, security
- UI: architecture, features, patterns
- Development: testing, API patterns
Contributing
Contributions are welcome! See CONTRIBUTING.md for guidelines.
For security vulnerabilities, see SECURITY.md.
License
Elastic License 2.0 (ELv2) — free to use, modify, and self-host. Not permitted to offer as a managed/hosted service.
Install Graphmemory in Claude Desktop, Claude Code & Cursor
unyly install graphmemoryInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add graphmemory -- npx -y @graphmemory/serverFAQ
Is Graphmemory MCP free?
Yes, Graphmemory MCP is free — one-click install via Unyly at no cost.
Does Graphmemory need an API key?
No, Graphmemory runs without API keys or environment variables.
Is Graphmemory hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Graphmemory in Claude Desktop, Claude Code or Cursor?
Open Graphmemory 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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