codememory
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@codememoryfind all callers of the login function"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
š§ CodeMemory
The Persistent Intelligence Layer for Codebases
Local-first, privacy-obsessed CLI tool and Model Context Protocol (MCP) server for AI agents.
š Official Website & Docs: https://codemem.vercel.app/
ā” Key Highlights
š 100% Local & Private: Zero telemetry, zero external network calls. All intelligence stored locally in SQLite WAL mode.
š Interactive Web Architecture Explorer: Local visual flowchart & memory dashboard with timeline scrubbing and real-time live updates.
ā” Token Efficiency: Minimizes AI prompt token consumption by providing targeted context slices and caller graphs instead of raw file dumps.
š Multi-Language AST Analysis: Extracts functions, classes, interfaces, structs, and imports across TypeScript/JavaScript, Python, Rust, Go, SQL, and more.
š Real-time Live Watcher: Detects code changes instantly with 100ms debouncing and
.gitignoreintegration.š¤ Native MCP Server: Ready to connect with Antigravity, Claude Desktop, Cursor, Copilot, and custom AI agents.
š Architecture Visualizer: Generates live Mermaid diagrams, Markdown documentation, and JSON maps.
Related MCP server: Graft
š Quick Start
1. Installation
# Clone the repository
git clone https://github.com/EldrexDelosReyesBula/CodeMemory.git
cd CodeMemory
# Install dependencies
npm install
# Build TypeScript
npm run build2. Basic Commands
# Initialize CodeMemory in your repository
npm run dev -- init
# Scan the current codebase and index all symbols
npm run dev -- scan
# Search for any function, class, or symbol
npm run dev -- query authenticateUser
# Extract token-budgeted AI context
npm run dev -- context AuthService --budget 2000
# Start the live background file watcher
npm run dev -- watch
# Export Mermaid architecture diagram
npm run dev -- export --format mermaid
# Check repository health and statistics
npm run dev -- statusš¤ Connecting to AI Agents via MCP
CodeMemory provides a full Model Context Protocol (MCP) stdio server.
Available MCP Tools
Tool | Description |
| Search code symbols, signatures, and functions |
| Token-budgeted context with dependencies & callers |
| Upstream imports and downstream dependents |
| Recent file modifications and Git commit logs |
| Generate real-time Mermaid architecture diagrams |
| Overall codebase stats and language breakdowns |
Antigravity & Claude Desktop Configuration
Add the following to your MCP configuration (mcp_config.json or claude_desktop_config.json):
{
"mcpServers": {
"codememory": {
"command": "node",
"args": ["c:/Users/Eldrex/Downloads/classhost/Needs/CodeMemory/dist/cli.js", "mcp"],
"env": {}
}
}
}šļø Architecture
CodeMemory/
āāā src/
ā āāā types/ # Domain data types & contracts
ā āāā db/ # SQLite engine with WAL mode & indexes
ā āāā parser/ # Multi-language AST symbol & dependency extractor
ā āāā watcher/ # Real-time debounced file watcher with .gitignore
ā āāā git/ # Git commit and diff history monitor
ā āāā generator/ # Mermaid diagram & Markdown/JSON exporters
ā āāā context/ # Token-budgeted context assembly & symbol ranker
ā āāā mcp/ # Model Context Protocol stdio server
ā āāā cli.ts # CLI commands router
āāā tests/ # Complete Vitest test suiteš License
MIT License - Copyright (c) 2026 Eldrex Delos Reyes Bula.
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