Mnemosyne – Memory for AI Hermes Agents, Sub-Millisecond Recalls, Local First
Mnemosyne is a new memory system designed for AI agents, offering sub-millisecond recall times and complete local data privacy. It operates without cloud dependencies, ensuring that all data remains on the user's machine. The system features a three-tier memory architecture and supports real-time updates for efficient memory management.
- ▪Mnemosyne provides sub-millisecond query latency with zero dependencies.
- ▪The memory system is built for AI agents requiring fast and reliable persistent memory.
- ▪All data is stored locally, ensuring 100% privacy without any cloud services.
Opening excerpt (first ~120 words) tap to expand
v3.0.0 — MEMORIA Fact EngineMemory for HermesThe native memory system for Hermes Agent. SQLite-backed, sub-millisecond, zero dependencies. No cloud. No API keys. Just pure speed.Get StartedRead the DocsMigrate from Zep, Mem0, Honcho, or Hindsight in one command — see migration docs<1msQuery latency0Dependencies98.9%LongMemEval100%Local & privateSimpleThree lines. Infinite memory.No configuration files. No environment variables. No cloud accounts. Import, remember, recall. That is all.pip install mnemosyne-memoryZero external services requiredWorks offline, alwaysHermes Agent integration built-infrom mnemosyne import remember, recall # Store a memory remember( "User prefers dark mode", importance=0.9, scope="global" ) # Retrieve relevant context results = recall("user preferences") # =>…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Mnemosyne.
Discussion
0 commentsMore from Mnemosyne
