AgentIndex icon
AgentIndex
MCP-memento logo
MCP-memento
★ 11
vs
squish-memory logo
squish-memory
★ 12

MCP-memento vs squish-memory

MCP-memento: 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.; squish-memory: Squish is a local-first, open-source memory system designed for AI agents, preventing them from forgetting past decisions, constraints, and preferences. It integrates with various coding agents and offers CLI, an MCP server, and a desktop app for managing and recalling relevant context.

01

TL;DR

MCP-memento logo
MCP-mementoMemory & Context · ★ 11

Enhancing AI agent performance with rich, persistent code context.

Read MCP-memento full review →
squish-memory logo
squish-memoryMemory & Context · ★ 12

Enhancing AI Agent Performance by Providing Persistent Memory

Read squish-memory full review →
02

Side-by-Side Comparison

Field
MCP-memento logoMCP-memento
squish-memory logosquish-memory
Category
Memory & Context
Memory & Context
Stars
★ 11
★ 12
License
MIT
NOASSERTION
Install Command
git clone https://github.com/caiowilson/MCP-memento.git && cd MCP-memento && make build
npm install -g squish-memory && squish install --all
Updated
1mo ago
3w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Code Indexing, Semantic Search
AI Agent Memory, Context Management, Local-first
03

Features

MCP-memento logoMCP-memento
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.
squish-memory logosquish-memory
01Unified Memory System for AI Agents
02Local-first Storage with SQLite and Cloud Sync Option
03Automatic Context Injection for Agents (50-200 tokens)
04Multiple Interfaces: CLI, MCP Server, and Desktop App
05Compatibility with Various Coding Agents via MCP Standard
04

Use Cases

MCP-memento logoMCP-memento
↳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.
squish-memory logosquish-memory
↳Enhancing AI Agent Performance by Providing Persistent Memory
↳Managing and Recalling Development-Specific Knowledge and Preferences
↳Injecting Relevant Context into Coding Assistants like Claude Code or Codex
FAQ

FAQ

What is the difference between MCP-memento and squish-memory?
Both MCP-memento and squish-memory are in the Memory & Context category. MCP-memento has 11 stars, while squish-memory has 12 stars.
Which is better, MCP-memento or squish-memory?
The best choice depends on your use case. Choose MCP-memento if Enhancing AI agent performance with rich, persistent code context., and squish-memory if Enhancing AI Agent Performance by Providing Persistent Memory.
Is MCP-memento free or open source?
Yes, MCP-memento is open source on GitHub (MIT).
Is squish-memory free or open source?
Yes, squish-memory is open source on GitHub (NOASSERTION).
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Related

Alternatives to MCP-memento →Alternatives to squish-memory →MCP-memento details →squish-memory details →