mnemo
★ 12
vs
daimon-memory
★ 14
mnemo vs daimon-memory
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.; daimon-memory: Daimon-memory is a self-hostable memory backend for AI agents, storing typed records in PostgreSQL with Qdrant as a semantic index. It provides fast, cheap, and reproducible hybrid keyword + vector search recall without an LLM in the recall path.
01
TL;DR
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
daimon-memoryMemory & Context · ★ 14
Providing persistent, shared memory for AI agents across different tools.
02
Side-by-Side Comparison
Field
mnemodaimon-memoryCategory
Memory & Context
Memory & Context
Stars
★ 12
★ 14
License
Apache-2.0
MIT
Install Command
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
git clone https://github.com/wakbijok/daimon-memory && cd daimon-memory && ./install.sh --yes
Updated
1d ago
2mo ago
Open Source
Yes
Yes
Tags
AI Memory, Hybrid Search, Vector Database
AI Agents, Memory, Persistence
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.
daimon-memory01Persistent and typed memory for AI agents
02Deterministic and LLM-free recall using hybrid keyword + vector search
03Self-hostable backend using PostgreSQL for canonical storage and Qdrant for semantic indexing
04Single-subject memory space shared across multiple AI tools
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.
daimon-memory↳Providing persistent, shared memory for AI agents across different tools.
↳Maintaining consistent personas and operating disciplines for AI agents.
↳Storing and retrieving AI agent decisions, lessons, incidents, and reminders.
↳Integrating memory capabilities with existing AI agent platforms like Claude Code, Codex, and Hermes.
FAQ
FAQ
What is the difference between mnemo and daimon-memory?
Both mnemo and daimon-memory are in the Memory & Context category. mnemo has 12 stars, while daimon-memory has 14 stars.
Which is better, mnemo or daimon-memory?
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 daimon-memory if Providing persistent, shared memory for AI agents across different tools..
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
Is daimon-memory free or open source?
Yes, daimon-memory is open source on GitHub (MIT).
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