mnemosyne

High-performance agentic memory system for Claude Code's multi-agent orchestration

Mnemosyne provides persistent semantic memory with sub-millisecond retrieval, built in Rust with LibSQL vector search and PyO3 Python bindings.

Features

Core Memory System

• Project-Aware: Automatic namespace detection from git repositories and CLAUDE.md
• Semantic Search: LibSQL vector embeddings + full-text search (FTS5) + graph connectivity
• Type System: Insight, Architecture, Decision, Task, Reference memory types
• Graph Linking: Automatic bidirectional relationship management
• Privacy-First: Local-only storage with optional privacy-preserving evaluation

Multi-Agent Orchestration

• Ractor Actors: 4 specialized agents (Orchestrator, Optimizer, Reviewer, Executor)
• LLM-Enhanced Reviewer: Automatic requirement extraction, semantic validation, intent verification with Claude API
• Work Queue: Dependency-aware scheduling with priority management
• Quality Gates: Automated test verification, anti-pattern detection, constraint validation, requirement traceability
• Deadlock Resolution: Priority-based preemption (60s timeout)
• Sub-Agent Spawning: Parallel work execution across child actors
• Event Persistence: Complete audit trail of orchestration events with SSE broadcasting