mnemo
★ 12
vs
mind-mem
★ 18
mnemo vs mind-mem
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.; mind-mem: MIND-Mem is a deterministic AI memory system that provides replayable memory for AI agents. It ensures byte-identical recall and an audit chain across various environments, preventing silent drift in long-running agents.
01
TL;DR
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
mind-memMemory & Context · ★ 18
Ensuring deterministic and auditable AI agent memory.
02
Side-by-Side Comparison
Field
mnemomind-memCategory
Memory & Context
Memory & Context
Stars
★ 12
★ 18
License
Apache-2.0
Apache-2.0
Install Command
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
pip install mind-mem && mind-mem-init ~/my-workspace
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Memory, Hybrid Search, Vector Database
AI Memory, Deterministic Recall, Audit Chain
03
Features
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.
mind-mem01Byte-identical Replay and Deterministic Recall
02Governed-write and Audit Trail
03Hybrid BM25+Vector Search with RRF Fusion
04Continuous Integrity Checking (Immune System)
05Multi-Agent Shared Memory and ACL
04
Use Cases
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.
mind-mem↳Ensuring deterministic and auditable AI agent memory.
↳Detecting and resolving contradictions and knowledge drift in AI systems.
↳Providing a canonical, shared memory layer for multiple AI agents.
↳Automatically capturing and formalizing informal decisions from agent interactions.
↳Building robust, long-running AI agents that prevent silent knowledge degradation.
FAQ
FAQ
What is the difference between mnemo and mind-mem?
Both mnemo and mind-mem are in the Memory & Context category. mnemo has 12 stars, while mind-mem has 18 stars.
Which is better, mnemo or mind-mem?
The best choice depends on your use case. Choose mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making., and mind-mem if Ensuring deterministic and auditable AI agent memory..
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
Is mind-mem free or open source?
Yes, mind-mem is open source on GitHub (Apache-2.0).
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