Is Code Memory safe to use?

Code Memory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Code Memory?

Code Memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Code Memory do?

Code Memory provides 4 tools: search_code, search_docs, search_history, index_codebase. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Code Memory?

Code Memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Code Memory actively maintained?

Code Memory is actively maintained — last commit was 9 days ago. It has 35 GitHub stars.

Code Memory

Name: Code Memory
Author: kapillamba4

code-memory · by kapillamba4

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

35 4 tools GitHub PyPI

No known CVEs

MIT license

Actively maintained

Last commit 9d ago

Works with most clients

Transport: stdio, sse, http

4 tools

Grade F

Edit this pageView history

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "code-memory": {
      "args": [
        "code-memory"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

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Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/code-memory)](https://mcppedia.org/s/code-memory)

Read me

What Code Memory does

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

57/100across 5 weighted dimensions

How we score →

0255075100

−43

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked code-memory against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

Help improve this page

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Community

Reviews

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Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Code Memory safe to use?: Code Memory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Code Memory?: Code Memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Code Memory do?: Code Memory provides 4 tools: search_code, search_docs, search_history, index_codebase. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Code Memory?: Code Memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Code Memory actively maintained?: Code Memory is actively maintained — last commit was 9 days ago. It has 35 GitHub stars.

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Discussion

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Edit this pageView history

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "code-memory": {
      "args": [
        "code-memory"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/code-memory)](https://mcppedia.org/s/code-memory)

Read me

What Code Memory does

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

README

code-memory

A deterministic, high-precision code intelligence layer exposed as a Model Context Protocol (MCP) server.

Zero telemetry — your code never leaves your machine
No API key required — runs entirely locally with sentence-transformers
1 min setup — just uvx code-memory and you're ready
Token saving by 50% — precise code retrieval instead of dumping entire files

Please help star code-memory if you like this project!

Why code-memory?

Finding the right context from a large codebase is expensive, inaccurate, and limited by context windows. Dumping files into prompts wastes tokens, and LLMs lose track of the actual task as context fills up.

Instead of manually hunting with grep/find or dumping raw file text, code-memory runs semantic searches against a locally indexed codebase. Inspired by claude-context, but designed from the ground up for large-scale local search.

Supported Languages

Full AST Support (structural parsing with symbol extraction): Python, JavaScript/TypeScript, Java, Go, Rust, C/C++, Ruby, Kotlin

Fallback Support (whole-file indexing): C#, Swift, Scala, Lua, Shell, Config (yaml/toml/json), Web (html/css), SQL, Markdown

Files matching .gitignore patterns are automatically skipped.

Architecture: Progressive Disclosure

Instead of a single monolithic search, code-memory routes queries through three purpose-built tools:

Question Type	Tool	Data Source
"Where / What / How?" — find definitions, references, structure, semantic search	`search_code`	BM25 + Dense Vector (SQLite vec)
"Architecture / Patterns" — understand architecture, explain workflows	`search_docs`	Semantic / Fuzzy
"Who / Why?" — debug regressions, understand intent	`search_history`	Git + BM25 + Dense Vector (SQLite vec)
"Setup / Prepare" — index parsing & embedding generation	`index_codebase`	AST Parser + `sentence-transformers`

This forces the LLM to pick the right retrieval strategy before any data is fetched.

Installation

From PyPI (Recommended)

# Install with pip
pip install code-memory

# Or with uvx (for MCP hosts)
uvx code-memory

From Source

# Clone the repo
git clone https://github.com/kapillamba4/code-memory.git
cd code-memory

# Install dependencies
uv sync

# Run the MCP server (stdio transport)
uv run mcp run code_memory/server.py

Pre-built Binaries (Standalone)

Download standalone executables from GitHub Releases — no Python installation required.

Platform	Architecture	File
Linux	x86_64	`code-memory-linux-x86_64`
macOS	x86_64 (Intel)	`code-memory-macos-x86_64`
macOS	ARM64 (Apple Silicon)	`code-memory-macos-arm64`
Windows	x86_64	`code-memory-windows-x86_64.exe`

# Linux/macOS: Download and make executable
chmod +x code-memory-*
./code-memory-*

# Windows: Run directly
code-memory-windows-x86_64.exe

Note: The first run will download the embedding model (~600MB) to ~/.cache/huggingface/. Subsequent runs use the cached model.

Quickstart

Prerequisites

Python ≥ 3.13
uv package manager (recommended) or pip

Install uv if you don't have it:

curl -LsSf https://astral.sh/uv/install.sh | sh

Install & Run

# Install from PyPI
pip install code-memory

# 

... [View full README on GitHub](https://github.com/kapillamba4/code-memory#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

57/100across 5 weighted dimensions

How we score →

0255075100

−43

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked code-memory against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

Help improve this page

This server is missing a description.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Code Memory safe to use?: Code Memory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Code Memory?: Code Memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Code Memory do?: Code Memory provides 4 tools: search_code, search_docs, search_history, index_codebase. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Code Memory?: Code Memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Code Memory actively maintained?: Code Memory is actively maintained — last commit was 9 days ago. It has 35 GitHub stars.