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EpochDB

Agentic Memory Engine

Developer Tools
Artificial Intelligence
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byJefferson AndradeJefferson Andrade

An agentic memory engine designed for lossless, tiered verbatim storage and multi-hop retrieval. - jersobh/epochdb

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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.

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About EpochDB on Product Hunt

Agentic Memory Engine

EpochDB was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. An agentic memory engine designed for lossless, tiered verbatim storage and multi-hop retrieval. - jersobh/epochdb

EpochDB was featured in Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 195k products, making this a competitive space to launch in.

Who hunted EpochDB?

EpochDB was hunted by Jefferson Andrade. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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