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Home/Categories/Developer Tools/codebase-memory-mcp
codebase-memory-mcp icon

codebase-memory-mcp

Open source alternative to Atlassian Code Context and Cursor

  • 48K stars
  • MIT
  • Active this week
  • Last commit 2 days ago

Last verified Nov 2, 2026

Index codebases into a local MCP knowledge graph so AI coding agents can query structure, call paths, and impact without rereading every file.

Visit websiteGitHub48K stars
image of codebase-memory-mcp
TL;DR

codebase-memory-mcp is an open-source MCP server that indexes codebases into a knowledge graph, enabling AI agents to answer questions efficiently. It supports 158 languages and operates locally without dependencies. The tool significantly reduces token usage and indexing time, making it ideal for large codebases.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ
who it's for

Who codebase-memory-mcp is for#

AI Developers

Ideal for developers using AI coding agents to enhance productivity.

Skip if:

Not using AI coding agents.

Codebase Managers

Useful for teams managing large codebases needing quick insights.

Skip if:

Working with small, simple codebases.

the problem

The problem it solves#

AI coding agents often waste tokens and time exploring codebases by reading files one at a time. This project provides a solution by indexing codebases into a knowledge graph, allowing for efficient querying.

how codebase-memory-mcp solves it

How it solves it#

Fast Indexing

Indexes an average repository in seconds and the Linux kernel in 3 minutes.

Token Efficiency

Reduces token usage by ~120x for structural queries compared to file-by-file exploration.

Multi-Language Support

Supports 158 programming languages with tree-sitter parsing.

Local Processing

All processing happens locally, ensuring code privacy.

3D Graph Visualization

Interactive UI for exploring the knowledge graph.

Cross-Service Linking

Matches REST routes to HTTP call sites across services.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • High EfficiencySignificantly reduces the number of tokens used for queries.
  • SpeedFast indexing and querying capabilities.
  • Local OperationNo external dependencies or API keys required.
  • Wide Language SupportCompatible with a large number of programming languages.

Trade-offs

  • -No Built-in LLMRelies on external agents for natural language processing.
  • -Initial Setup RequiredRequires initial indexing which may take time for large codebases.
install · quick start

Quick start#

bash
Install the local MCP server on macOS or Linux, then restart your coding agent so it can detect the new MCP configuration. The upstream one-line installer is available, or you can clone the repository and run the installer after review.

```bash
git clone https://github.com/DeusData/codebase-memory-mcp.git
cd codebase-memory-mcp
./install.sh
codebase-memory-mcp config set auto_index true
```

For Windows, download the PowerShell installer from the project repository, inspect it, and run `.\install.ps1`. Use `--ui` on supported releases when you also want the local graph visualization server.
tech stack · detected from GitHub

What it's built on#

Languages
CC++JavaScriptPythonTypeScript
Frameworks
React
Databases
SQLite
frequently asked

FAQ#

Does codebase-memory-mcp send my code anywhere?

No, all processing happens locally.

Is it free and open source?

Yes, it is MIT licensed and available on GitHub.

How do I install codebase-memory-mcp?

Use the one-line install command: curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash.

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