Mnemosyne — Hermes Memory Provider

Mnemosyne is a local-first memory layer for AI agents. When deployed as a Hermes memory provider, it replaces the built-in MEMORY.md/USER.md system with SQLite-backed vector + FTS5 hybrid search, episodic consolidation, temporal knowledge graphs, and optional bidirectional sync.

100% local. Zero cloud. Sub-millisecond recall.

What It Gives You

• System prompt injection — # Mnemosyne Memory context block in every prompt
• Pre-turn prefetch — relevant memories injected before each LLM call
• Post-turn sync — conversation turns auto-stored to episodic memory
• 20 tools auto-injected into the model's tool surface (remember, recall, sleep, triples, scratchpad, graph, sync, diagnostics, etc.)
• 3 lifecycle hooks — pre_llm_call, on_session_start, post_tool_call
• CLI commands — hermes mnemosyne {stats|sleep|inspect|export|import|clear|version}