This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
EpochDB
Agentic Memory Engine
An agentic memory engine designed for lossless, tiered verbatim storage and multi-hop retrieval. - jersobh/epochdb
Top comment
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.
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
On the analytics side, EpochDB competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how EpochDB performed against the three products that launched closest to it on the same day.
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.
For a complete overview of EpochDB including community comment highlights and product details, visit the product overview.