memory-bank-mcp
★ 921
vs
mnemo
★ 12
memory-bank-mcp vs mnemo
memory-bank-mcp: The Memory Bank MCP Server provides a centralized service for managing memory bank files remotely. It supports multiple projects, ensures file structure consistency, and offers secure, isolated access via the MCP protocol.; 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
memory-bank-mcpMemory & Context · ★ 921
Centralized management of AI model context across various projects.
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
memory-bank-mcpmnemoCategory
Memory & Context
Memory & Context
Stars
★ 921
★ 12
License
MIT
Apache-2.0
Install Command
npx -y @smithery/cli install @alioshr/memory-bank-mcp --client claude
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
Updated
1y ago
1d ago
Open Source
Yes
Yes
Tags
MCP, Memory Bank, Node.js
AI Memory, Hybrid Search, Vector Database
03
Features
memory-bank-mcp01Multi-project memory bank management
02Remote access to memory banks via MCP protocol
03Consistent file structure enforcement and validation
04Project isolation for enhanced security
05Comprehensive CRUD operations for memory bank files
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
memory-bank-mcp↳Centralized management of AI model context across various projects.
↳Providing remote memory bank capabilities to multiple AI assistants or development tools.
↳Integrating with AI clients like Claude, Cursor, or VS Code extensions to enhance their memory functions.
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 memory-bank-mcp and mnemo?
Both memory-bank-mcp and mnemo are in the Memory & Context category. memory-bank-mcp has 921 stars, while mnemo has 12 stars.
Which is better, memory-bank-mcp or mnemo?
The best choice depends on your use case. Choose memory-bank-mcp if Centralized management of AI model context across various projects., and mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making..
Is memory-bank-mcp free or open source?
Yes, memory-bank-mcp 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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