AgentIndex icon
AgentIndex
mcp-local-memory logo
mcp-local-memory
★ 60
vs
mneme logo
mneme
★ 167

mcp-local-memory vs mneme

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.; mneme: dsh-mneme is a DeepSeek Harness plugin providing sophisticated cross-session memory for LLMs. It not only stores information but actively manages it through features like background deduplication, conflict resolution, and auditable history, ensuring AI remembers past interactions.

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 →
mneme logo
mnemeMemory & Context · ★ 167

Continuing project discussions across multiple sessions without repetition.

Read mneme full review →
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
mneme logomneme
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 167
License
MIT
MIT
Install Command
npm install -g @beledarian/mcp-local-memory@2
dsh plugin --profile web add @modusensus/dsh-mneme && dsh web
Updated
1mo ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Management, Knowledge Graph
LLM Memory, Cross-Session Context, DeepSeek Harness 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
mneme logomneme
01Replayable and Auditable Memory
02Conflict Resolution with Human Oversight
03Agent and Workspace Memory Isolation
04Offline-first Local Semantic Search
05Automatic Background Memory Consolidation
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.
mneme logomneme
↳Continuing project discussions across multiple sessions without repetition.
↳Persisting AI's understanding of user preferences and coding habits long-term.
↳Automatic archiving and retrieval of organized research notes after closing chat windows.
FAQ

FAQ

What is the difference between mcp-local-memory and mneme?
Both mcp-local-memory and mneme are in the Memory & Context category. mcp-local-memory has 60 stars, while mneme has 167 stars.
Which is better, mcp-local-memory or mneme?
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 mneme if Continuing project discussions across multiple sessions without repetition..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is mneme free or open source?
Yes, mneme is open source on GitHub (MIT).
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Related

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