MCP-memento
Active·★ 11·MIT·Updated 2026-09-09
Memento-mcp is a local-first MCP server designed to provide AI agents with durable, high-signal memory for code repositories. It offers indexed code context, semantic relationships, fast search capabilities, and explicit notes that persist across sessions.
#AI Agent Memory#Code Indexing#Semantic Search#Context Management#MCP Server#VS Code Extension#Local-first#Repository Analysis
01
Features
01Provides durable, high-signal memory for AI agents by indexing code context.
02Supports fast search and retrieval of code context based on semantic relationships.
03Stores explicit, repo-scoped notes that persist across sessions.
04Integrates with Claude Code and Claude Desktop as an MCP server.
05Offers a companion VS Code extension for installation and configuration.
02
Compatibility
Go
Runtime
Verified via docs
VS Code
IDE Integration
Verified via docs
Claude Code
AI Client
Verified via docs
Claude Desktop
AI Client
Verified via docs
MacOS
OS
Verified via docs
WSL
OS
Verified via docs
03
Quick start
1
$ git clone https://github.com/caiowilson/MCP-memento.git
2
$ cd MCP-memento
3
$ make build
04
Use cases
↳Enhancing AI agent performance with rich, persistent code context.
↳Enabling AI-powered code search and understanding within a repository.
↳Managing and retrieving explicit notes or institutional knowledge related to specific codebases.
↳Integrating long-term memory capabilities into AI development workflows via MCP clients.
05
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