AgentIndex icon
AgentIndex
mcp-local-memory logo
mcp-local-memory
★ 60
vs
mnemo logo
mnemo
★ 12

mcp-local-memory vs mnemo

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.; mnemo: Mnemo is an open, free, and unlimited persistent AI memory system featuring hybrid search and embedded synchronization. It integrates full-text search with vector search, temporal decay, and importance boosting for advanced retrieval.

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 →
mnemo logo
mnemoMemory & Context · ★ 12

Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.

Read mnemo full review →
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
mnemo logomnemo
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 12
License
MIT
Apache-2.0
Install Command
npm install -g @beledarian/mcp-local-memory@2
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
Updated
1mo ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Management, Knowledge Graph
AI Memory, Hybrid Search, Vector Database
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
mnemo logomnemo
01Hybrid retrieval combining full-text search (FTS5) and vector search, fused via Reciprocal Rank Fusion, then re-ranked with temporal decay and importance boost.
02Automatic entity extraction and relation tracking to build a temporal knowledge graph, boosting top search results by graph proximity.
03Multi-machine sync via Google Drive with JSONL-based merge sync, and end-to-end encrypted passport sync using AES-256-GCM and Argon2id for secure cross-device bootstrap.
04LLM-driven compression of older memories and LLM summarization of related memories for STM-to-LTM consolidation, achieving significant token reduction.
05Zero-config local setup using Fastretrieval's built-in Qwen3 ONNX embedding and reranking models, requiring no external API keys for basic operation.
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.
mnemo logomnemo
↳Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
↳Building and querying a temporal knowledge graph to understand historical states and relationships of entities within an AI system's memory.
↳Synchronizing AI memory across multiple machines or devices securely, enabling a consistent knowledge base for agents.
↳Improving the efficiency of LLM interactions by compressing older memories and consolidating related information.
↳Integrating with various AI clients (e.g., Claude Code, Gemini CLI, Cursor) as an MCP server for advanced memory management.
FAQ

FAQ

What is the difference between mcp-local-memory and mnemo?
Both mcp-local-memory and mnemo are in the Memory & Context category. mcp-local-memory has 60 stars, while mnemo has 12 stars.
Which is better, mcp-local-memory or mnemo?
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 mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
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