promem-mcp
Enables AI coding agents to maintain persistent project context, including rules, decisions, environment intelligence, and Git history, using a local-first MCP server with automatic project detection and token-efficient retrieval.
README
Promem-MCP
Project Memory MCP — persistent project context for AI coding agents. Built by DIP-RO.
pip install promem-mcp
No database setup. No cloud. No daemon. No manual config.
Promem-MCP is a local-first, MCP-native context runtime that gives AI coding agents persistent project understanding — architecture, rules, decisions, conventions, environment intelligence, and Git context — without repeated explanations or context waste.
Quick Start
pip install promem-mcp
That's it. On first run, Promem-MCP auto-detects and auto-configures all your installed AI coding clients (Cursor, Claude, VS Code, Cline, etc.). Just restart your AI client after install.
Prefer manual control?
# See which clients are detected
promem config
# Auto-configure all detected clients at once
promem config --all
# Configure a specific client
promem config cursor
promem config claude-code
promem config vscode
Or manually add to your client's MCP config:
{
"mcpServers": {
"promem-mcp": {
"command": "promem",
"args": []
}
}
}
VS Code note: VS Code uses
"servers"key, not"mcpServers". Runpromem config vscodefor the correct format.
How It Works
Features
- Zero-setup storage — SQLite database created automatically in OS-appropriate directory
- Automatic project detection — language, framework, package manager, test framework
- Persistent memory — rules, decisions, conventions, environment facts, Git intelligence
- Token-efficient retrieval — FTS5 search with token budgeting, returns only relevant context
- Provenance tracking — every memory knows where it came from and how confident it is
- Secret redaction — API keys, tokens, passwords are never stored or returned
- Project isolation — project memories never leak across projects
- Stale context detection — flags memories that conflict with current project state
- Contradiction detection — identifies conflicting project rules
- Session continuity — handoff summaries for switching between agents/sessions
- Git intelligence — recent commits, changed files, TODOs/FIXMEs
- Environment diagnostics — Python version, venv, .env completeness, Docker
- Local-first — no network requests, no cloud, no external services
MCP Tools
| Tool | Description |
|---|---|
ctx_search |
Search persistent project context with token budget |
ctx_get |
Get a specific memory by ID |
ctx_save |
Save a memory, decision, rule, or fact |
ctx_update |
Update an existing memory |
ctx_delete |
Delete a memory |
ctx_project |
Get current project information |
ctx_rules |
Get all project rules and conventions |
ctx_decisions |
Get all technical/architecture decisions |
ctx_recent |
Get recent memories and latest session |
ctx_git |
Get Git intelligence |
ctx_environment |
Get environment intelligence |
ctx_diagnostics |
Run environment diagnostics |
ctx_summary |
Get compact project summary for handoff |
CLI
contextmcp --version # Version
promem status # Project + storage status
promem doctor # Health checks
promem stats # Usage statistics
promem search "query" # Search context
promem memory list # List memories
promem decision "text" # Save a decision
promem privacy # Privacy info
promem config # Client configuration
promem repair # Rebuild index, optimize DB
promem reset # Delete all data (with confirmation)
Client Support
| Client | Auto-config? | Config Key |
|---|---|---|
| Claude Code | promem config claude-code |
mcpServers |
| Claude Desktop | promem config claude-desktop |
mcpServers |
| Cursor | promem config cursor |
mcpServers |
| VS Code / Copilot | promem config vscode |
servers |
| OpenCode | promem config opencode |
mcp |
| Gemini CLI | promem config gemini-cli |
mcpServers |
| Windsurf | promem config windsurf |
mcpServers |
| Cline | promem config cline |
mcpServers |
| Roo Code | promem config roo-code |
mcpServers |
| Amazon Q | promem config amazon-q |
mcpServers |
| ZCode (GLM/Zhipu) | promem config zcode |
mcpServers |
| Tabnine | promem config tabnine |
mcpServers |
No client supports true zero-config auto-registration. ContextMCP detects installed clients, offers to write config (with backup + merge), and provides exact copy-paste snippets.
Privacy
- Local only — no network requests
- Project contents not uploaded
- Secrets redacted — never stored or returned
- No cloud dependencies
promem privacy
Storage Location
ContextMCP uses project-local storage — no centralized OS directory, no wasted space.
| Location | Path |
|---|---|
| Project-local (default) | <project-root>/.contextmcp/ |
Each project gets its own .contextmcp/contextmcp.db. Storage travels with the project. No global storage bloat.
Add .contextmcp/ to your .gitignore (already included by default in ContextMCP's ignore patterns).
Override with CONTEXTMCP_DATA_DIR environment variable if needed.
Installation
# pip
pip install promem-mcp
# uv
uv add contextmcp
# pipx (global CLI)
pipx install contextmcp
Works in venv, virtualenv, uv, pipx, and system Python.
Development
git clone https://github.com/contextmcp/contextmcp.git
cd contextmcp
pip install -e ".[dev]"
pytest
License
MIT
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