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Memora
Stop AI from hallucinating your own notes
Memora indexes your Obsidian vault into a claim graph. AI tools cite claim IDs, a validator re-reads source spans before output ships, hallucinated citations get rejected. Surfaces decisions, contradictions, and stale dependencies across notes. Open source.
Hey everyone, I built Memora because I got tired of AI note tools fabricating things from my own notes.
The problem: chunk-based RAG retrieves text and trusts the model to quote it correctly. When the model fabricates a meeting, puts words in someone's mouth, or cites a paragraph that doesn't exist, you have no defense.
Memora's approach: extract atomic claims from your markdown with byte-level pointers and blake3 fingerprints. When an LLM cites a claim ID, a validator re-reads the source span and rejects mismatches before the answer ships. The hallucination contract is enforced in Rust types, not prompts.
Beyond verification, the claim graph surfaces patterns chunk-RAG can't: decisions you made three months ago, contradictions between meeting notes, plans that depend on reversed decisions.
Single Rust binary. Works with Claude Desktop over MCP. Apache-2.0. Honest about what's not yet there (mobile, PDFs, GUI).
Would love feedback from anyone running their notes through this.
About Memora on Product Hunt
“Stop AI from hallucinating your own notes”
Memora was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #159 on the daily leaderboard. Memora indexes your Obsidian vault into a claim graph. AI tools cite claim IDs, a validator re-reads source spans before output ships, hallucinated citations get rejected. Surfaces decisions, contradictions, and stale dependencies across notes. Open source.
On the analytics side, Memora competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Memora performed against the three products that launched closest to it on the same day.
Who hunted Memora?
Memora was hunted by Radoslav Tsvetkov. 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 Memora including community comment highlights and product details, visit the product overview.
Radoslav Tsvetkov