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An agentic skills framework & software development with fastmemory methodology that works.

5 starsShell

Superfast – Cognitive Memory Graphs for Enterprise AI Agents

by prabhatkr·Mar 27, 2026·3 points·1 comment

AI Analysis

MidBold BetBig Brain

Louvain clustering for agent memory, but AI agent frameworks are already saturated.

Strengths
  • CBFDAE ontology provides deterministic functional clusters instead of semantic chunking
  • Integrates TDD and Socratic planning workflows into agent execution pipeline
  • Targets token waste problem in long-running agentic sessions specifically
Weaknesses
  • Zero stars and forks on GitHub suggests minimal real-world validation
  • README heavy on buzzwords, light on concrete differentiation from LangChain
Category
Target Audience

Enterprise AI developers building agentic workflows

Similar To

LangChain · AutoGen · CrewAI

Post Description

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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