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).
Memorist
An auditable, local-first memory engine for Open WebUI
Long-running LLM work loses continuity: decisions, corrections, and constraints evaporate between sessions. Most fixes summarize old chats into a hidden prompt — invisible, unauditable, easy to poison. Memorist takes a different position: raw messages are evidence, not memory. Every message is preserved unchanged in a local ledger. Deterministic sentence segmentation produces units with exact character offsets, so every memory claim traces back to the exact words that produced it.
Memorist — an auditable, local-first memory engine for Open WebUI Long-running LLM work loses continuity: decisions, corrections, and constraints evaporate between sessions. Most fixes summarize old chats into a hidden prompt — invisible, unauditable, easy to poison. Memorist takes a different position: raw messages are evidence, not memory. Every message is preserved unchanged in a local ledger. Deterministic sentence segmentation produces units with exact character offsets, so every memory claim traces back to the exact words that produced it. A memory is a versioned, evidence-linked claim that must earn recall through gate, routing, trust, and consolidation stages. Open WebUI stays the parent chat product; Memorist owns capture, processing, retrieval, and privacy workflows beside it. Repo: https://github.com/doctordocto159753/open-webui-memorist-edition Where it stands: the core event-sourced engine and processing flow work and are tested. The semantic routing layer is designed but not fully wired into the candidate pipeline yet, and the UI/UX needs real frontend work — I've prioritized correctness of the engine over polish. Who I'm looking for: a frontend/UX contributor (Svelte, Open WebUI integration), and anyone interested in benchmarking whether structured memory actually improves long-conversation quality — that's the core research question. I'm a product manager by background (literature → theater → humanities theory → fintech PM), and this project is where those domains meet engineering. I'll own product design, specs, and testing coordination; I need engineers who want ownership of their layer. Starter issues are labeled in the repo. Comment here or open a discussion if interested.
A text incapable of explaining me: I started with literature {a science fiction lover}, I studied art and theater, then a little bit of humanities theory, then I became a product manager, then I got involved in networking concepts; and during this time, I prototype my ideas with artificial intelligence. In these projects, I tried to connect different domains that were from humanities and arts, engineering and product management, and my experiences.
Persistent memory feels like foundational infrastructure for AI. Curious—what design tradeoff ended up being much harder than you expected while building Memorist?
About Memorist on Product Hunt
“An auditable, local-first memory engine for Open WebUI”
Memorist was submitted on Product Hunt and earned 6 upvotes and 4 comments, placing #57 on the daily leaderboard. Long-running LLM work loses continuity: decisions, corrections, and constraints evaporate between sessions. Most fixes summarize old chats into a hidden prompt — invisible, unauditable, easy to poison. Memorist takes a different position: raw messages are evidence, not memory. Every message is preserved unchanged in a local ledger. Deterministic sentence segmentation produces units with exact character offsets, so every memory claim traces back to the exact words that produced it.
Memorist was featured in Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 140.1k products, making this a competitive space to launch in.
Who hunted Memorist?
Memorist was hunted by Cna Farokhi. 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.
Want to see how Memorist stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Cna Farokhi