squish-memory logo
squish-memory
★ 12
vs
local-memory-mcp logo
local-memory-mcp
★ 15

squish-memory vs local-memory-mcp

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.; local-memory-mcp: local-memory-mcp provides persistent local memory for AI assistants like Claude, Cursor, and Codex, addressing the issue of AI forgetting past conversations. It stores learnings, decisions, and knowledge graphs in a single SQLite file on your machine, utilizing hybrid retrieval and multilingual embeddings for robust information recall without cloud services or API keys.

01

TL;DR

squish-memory logo
squish-memoryMemory & Context · ★ 12

Enhancing AI Agent Performance by Providing Persistent Memory

local-memory-mcp logo
local-memory-mcpMemory & Context · ★ 15

Provide persistent memory for AI assistants, ensuring they remember past conversations and context across sessions.

02

Side-by-Side Comparison

Field
squish-memory logosquish-memory
local-memory-mcp logolocal-memory-mcp
Category
Memory & Context
Memory & Context
Stars
★ 12
★ 15
License
NOASSERTION
MIT
Install Command
npm install -g squish-memory && squish install --all
npx -y @studiomeyer/local-memory-mcp
Updated
2w ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Memory, Context Management, Local-first
Local Memory, Hybrid Retrieval, Vector Embeddings
03

Features

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
local-memory-mcp logolocal-memory-mcp
01Knowledge Graph with entities, bi-temporal observations, and typed relations.
02Hybrid retrieval combining BM25 keyword search with vector cosine via Reciprocal Rank Fusion.
03Duplicate gatekeeper using FTS5 similarity to prevent storing identical information.
04Automatic session context loading, allowing AI to pick up from previous conversations.
05Local-first design with zero configuration, running entirely on your machine without cloud services or API keys.
04

Use Cases

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
local-memory-mcp logolocal-memory-mcp
↳Provide persistent memory for AI assistants, ensuring they remember past conversations and context across sessions.
↳Store and retrieve structured knowledge like learnings, decisions, and entity observations in a local knowledge base.
↳Perform unified, hybrid semantic search across various memory types to quickly recall relevant information.
↳Log and review important decisions along with their reasoning and considered alternatives.
↳Enable LLM-free reflection to identify most-used learnings, stale information, and open decisions.
FAQ

FAQ

What is the difference between squish-memory and local-memory-mcp?
Both squish-memory and local-memory-mcp are in the Memory & Context category. squish-memory has 12 stars, while local-memory-mcp has 15 stars.
Which is better, squish-memory or local-memory-mcp?
The best choice depends on your use case. Choose squish-memory if Enhancing AI Agent Performance by Providing Persistent Memory, and local-memory-mcp if Provide persistent memory for AI assistants, ensuring they remember past conversations and context across sessions..
Is squish-memory free or open source?
Yes, squish-memory is open source on GitHub (NOASSERTION).
Is local-memory-mcp free or open source?
Yes, local-memory-mcp is open source on GitHub (MIT).
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