mcp-memory-server
★ 27
vs
mnemo
★ 12
mcp-memory-server vs mnemo
mcp-memory-server: Mnemoverse is a hosted memory server for AI agents, designed to learn from interactions and manage context across multiple AI tools. It offers persistent memory that improves with use, allowing agents to retain information across sessions, projects, and platforms without re-explaining context.; 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-memory-serverMemory & Context · ★ 27
Remember user preferences (e.g., dark mode, preferred frameworks)
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
02
Side-by-Side Comparison
Field
mcp-memory-servermnemoCategory
Memory & Context
Memory & Context
Stars
★ 27
★ 12
License
MIT
Apache-2.0
Install Command
claude mcp add mnemoverse -e MNEMOVERSE_API_KEY=mk_live_YOUR_KEY -e MNEMOVERSE_API_URL=https://core.mnemoverse.com/api/v1 -- npx -y @mnemoverse/mcp-memory-server@latest
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
Updated
2d ago
2d ago
Open Source
Yes
Yes
Tags
AI Memory, Context Management, Agent Tooling
AI Memory, Hybrid Search, Vector Database
03
Features
mcp-memory-server01Store memories (insights, preferences, lessons learned)
02Search memories by natural language query
03Rate memories as helpful or not to improve future recall
04Delete specific memories or wipe entire memory domains
mnemo01Hybrid 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-memory-server↳Remember user preferences (e.g., dark mode, preferred frameworks)
↳Store project context (e.g., tech stack, deployment strategy)
↳Record lessons learned and past mistakes for future reference
↳Track decisions made during development or planning
mnemo↳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-memory-server and mnemo?
Both mcp-memory-server and mnemo are in the Memory & Context category. mcp-memory-server has 27 stars, while mnemo has 12 stars.
Which is better, mcp-memory-server or mnemo?
The best choice depends on your use case. Choose mcp-memory-server if Remember user preferences (e.g., dark mode, preferred frameworks), and mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making..
Is mcp-memory-server free or open source?
Yes, mcp-memory-server 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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