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Hey Product Hunt 👋
▎
▎ I built verifiable-memory out of frustration: every agent I worked with eventually
▎ did the same thing — answered a question confidently and wrong, or "remembered"
▎ something it was never told. For anything serious (legal, finance, health,
▎ automation) that's not a bug, it's a liability.
▎
▎ So I went the opposite way. Instead of making the model guess better, I gave it a
▎ memory that can only answer from facts it actually has — with the source cited — or
▎ honestly says "I don't know." No fabrication by construction, not by prompt. It
▎ also does what an LLM can't from its weights: provable forgetting (GDPR),
▎ valid-time ("what did we know as of date T?"), Merkle proofs, and fully
▎ deterministic recall.
▎
▎ I stress-tested it to 1,000,000 facts on a plain CPU box: 0% hallucination on
▎ adversarial traps, ~4µs/query, no GPU. It ships as an MCP server + Python SDK, so
▎ it drops in behind Claude or any agent in a couple of lines.
▎
▎ It's open-source (MIT) and free to self-host: pip install verifiable-memory-mcp ·
▎ github.com/Mars-proj/verifiable-memory
▎
▎ Honest scope: it's a trust/memory layer, not a smarter chatbot — it wins on
▎ verifiability, not fluency. Pair it with your LLM.
▎
▎ I'd love feedback, especially from anyone building agents where a made-up fact
▎ actually costs something. What would make this useful for you?
▎
▎ — Sergey
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About verifiable-memory on Product Hunt
“Memory for AI agents that can't hallucinate”
verifiable-memory was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #134 on the daily leaderboard. Verifiable memory for AI agents — 0% hallucination, cited answers or honest abstention, provable forgetting, deterministic. MCP server. CPU-only, no GPU. - Mars-proj/verifiable-memory
verifiable-memory was featured in Open Source (68.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218k products, making this a competitive space to launch in.
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