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Superfast – Cognitive Memory Graphs for Enterprise AI Agents

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Superfast – Cognitive Memory Graphs for Enterprise AI Agents

Superfast is an evolution of the Superpowers agent framework, now integrated with FastMemory—a concurrent Rust engine that maps unstructured text into a CBFDAE (Component, Block, Function, Data, Access, Event) functional ontology. While RAG has become the standard for "adding knowledge" to LLMs, it often fails at scale due to semantic noise and the destruction of logical boundaries during chunking. Superfast treats memory as an architectural layer. It utilizes Louvain community detection to mathematically derive functional clusters, giving agents a deterministic "Logic Layer" that persists across sessions. We’ve maintained the strict TDD and Socratic discipline of the original framework but scaled it for environments like Microsoft Fabric and AWS Glue where "token waste" is a primary bottleneck. Check it out here: https://github.com/FastBuilderAI/superfast

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
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40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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