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Rudi
Causal graph memory for LLM.Flat token cost across sessions.
Rudi is a context engine for long-running AI sessions. Instead of resending the whole chat history every turn — expensive, hits limits, forgets early decisions — Rudi stores only the decisions that matter as a causal graph in SQLite. The AI reads the graph, not the transcript. Cost stays flat across 1000+ turns. Unlike memory tools that store facts, Rudi tracks consequences: change one decision and it flags exactly what breaks downstream. Open source, local-first.
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About Rudi on Product Hunt
“Causal graph memory for LLM.Flat token cost across sessions.”
Rudi was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #92 on the daily leaderboard. Rudi is a context engine for long-running AI sessions. Instead of resending the whole chat history every turn — expensive, hits limits, forgets early decisions — Rudi stores only the decisions that matter as a causal graph in SQLite. The AI reads the graph, not the transcript. Cost stays flat across 1000+ turns. Unlike memory tools that store facts, Rudi tracks consequences: change one decision and it flags exactly what breaks downstream. Open source, local-first.
Rudi was featured in GitHub (41.3k followers) on Product Hunt. Together, these topics include over 24.3k products, making this a competitive space to launch in.
Who hunted Rudi?
Rudi was hunted by Raphael Sebastian. 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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Raphael Sebastian