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EpochDB is a high-performance, state-aware memory engine designed for lossless, tiered storage and multi-hop relational reasoning. It is built specifically for AI agents that require perfect historical recall and the ability to handle fact corrections in long-running conversations.
Why EpochDB?
Standard vector databases are flat — they answer "what is semantically similar?" but struggle with "which of these conflicting facts is the latest truth?". EpochDB solves this through Atomic State Management:
Topic Lock & Entity Seeding: Architectural precision that ensures retrieval stays within the correct topic (e.g., employment) by seeding candidates directly from the Knowledge Graph.
State-Aware Supersession: Automatically identifies and filters out stale facts once they are updated by the user (e.g., "Lisbon" → "Porto").
Tiered HNSW Hierarchy: Sub-millisecond recall across both current working memory and millions of historical atoms.
Memory Forking & Lineage: Create logical branches in the memory tree (db.fork) to support multi-agent collaboration and hypothetical reasoning without data duplication.
