AgentIndex icon
AgentIndex
mcp-local-memory logo
mcp-local-memory
★ 60
vs
claude-mem-lite logo
claude-mem-lite
★ 67

mcp-local-memory vs claude-mem-lite

mcp-local-memory: mcp-local-memory is a local-first MCP server designed to provide AI agents with shared, durable memory without relying on Docker or cloud services. It achieves this through a powerful combination of hybrid semantic search, SQLite FTS5, and a structured knowledge graph, supporting features like temporal recall and adaptive ranking.; claude-mem-lite: claude-mem-lite provides a persistent, cross-session memory system for Claude Code, automatically capturing coding observations and decisions. It uses an MCP server and hooks for efficient, cost-optimized context recall via hybrid full-text and semantic search.

01

TL;DR

mcp-local-memory logo
mcp-local-memoryMemory & Context · ★ 60

Provide persistent and shared memory for AI agents in local environments.

Read mcp-local-memory full review →
claude-mem-lite logo
claude-mem-liteMemory & Context · ★ 67

Recalling past bug fixes and coding decisions across sessions.

Read claude-mem-lite full review →
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
claude-mem-lite logoclaude-mem-lite
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 67
License
MIT
MIT
Install Command
npm install -g @beledarian/mcp-local-memory@2
npx github:sdsrss/claude-mem-lite
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Management, Knowledge Graph
Persistent Memory, LLM Memory Management, Claude Code Plugin
03

Features

mcp-local-memory logomcp-local-memory
01Shared memory across multiple AI agents
02Hybrid semantic and keyword recall
03Structured knowledge graph for context management
04Temporal memory recall with natural language dates
05Adaptive memory ranking based on multiple factors
claude-mem-lite logoclaude-mem-lite
01Automatic observation capture via Claude Code hooks.
02Hybrid full-text and semantic search (FTS5 + TF-IDF) with RRF.
03Episode batching for significant LLM cost reduction.
04Error-triggered and proactive file history recall.
05Cross-language synonym expansion (CJK↔EN) for enhanced search.
04

Use Cases

mcp-local-memory logomcp-local-memory
↳Provide persistent and shared memory for AI agents in local environments.
↳Build knowledge bases and manage context for complex AI applications.
↳Facilitate local-first AI agent development and testing without external dependencies.
↳Serve as a centralized memory server for distributed AI agent systems via HTTP/SSE.
claude-mem-lite logoclaude-mem-lite
↳Recalling past bug fixes and coding decisions across sessions.
↳Maintaining project context for AI coding agents over long periods.
↳Automatically getting relevant historical context when interacting with files.
↳Optimizing LLM token usage and cost for AI agent memory.
↳Zero-touch documentation of coding workflows and lessons learned.
FAQ

FAQ

What is the difference between mcp-local-memory and claude-mem-lite?
Both mcp-local-memory and claude-mem-lite are in the Memory & Context category. mcp-local-memory has 60 stars, while claude-mem-lite has 67 stars.
Which is better, mcp-local-memory or claude-mem-lite?
The best choice depends on your use case. Choose mcp-local-memory if Provide persistent and shared memory for AI agents in local environments., and claude-mem-lite if Recalling past bug fixes and coding decisions across sessions..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is claude-mem-lite free or open source?
Yes, claude-mem-lite is open source on GitHub (MIT).
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Related

Alternatives to mcp-local-memory →Alternatives to claude-mem-lite →mcp-local-memory details →claude-mem-lite details →