Valori combines vector search, knowledge graphs, deterministic state, and verification into one memory layer for AI. Build RAG, agents, search, and recommendation systems with memory that can be reproduced and independently verified.
Hey Product Hunt 👋
I’m Varshith, the founder of Valori.
I started building Valori around a problem I kept coming back to: as AI systems rely more heavily on external memory, that memory becomes part of the system’s behavior. But most retrieval infrastructure is designed around finding similar vectors, not around making memory connected, reproducible, and independently verifiable.
So I built Valori as a different kind of memory layer for AI.
Vectors find relevant memory.
Graphs connect that memory.
Deterministic state makes it reproducible.
Verification makes the history checkable.
Valori brings those pieces together in one system:
• Vector search for semantic retrieval
• Knowledge graphs and GraphRAG for connected context
• Deterministic execution and replay • BLAKE3-backed state verification
• Snapshots + WAL-backed state
• Python and TypeScript SDKs
• Rust at the core
• Cloud and open-source workflows
The goal isn’t to build another vector database with more knobs. It’s to make AI memory something you can reason about, reproduce, and verify.
I’ve been building this from the kernel upward, and I’d especially love feedback from people working on RAG, agents, search, recommendations, and AI infrastructure.
Thanks for checking out Valori. I’ll be here all day answering questions and digging into technical details.
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About Valori on Product Hunt
“The deterministic memory layer for AI”
Valori launched on Product Hunt on September 22nd, 2026 and earned 64 upvotes and 1 comments, placing #39 on the daily leaderboard. Valori combines vector search, knowledge graphs, deterministic state, and verification into one memory layer for AI. Build RAG, agents, search, and recommendation systems with memory that can be reproduced and independently verified.
Valori was featured in Developer Tools (519.9k followers), Artificial Intelligence (479.2k followers), GitHub (41.4k followers) and Database (2.3k followers) on Product Hunt. Together, these topics include over 238.6k products, making this a competitive space to launch in.
Who hunted Valori?
Valori was hunted by VARSHITH G. 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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