FreshmanD

3 ms·

1.
by FreshmanD 8mo ago
Facts: - +30% accuracy on IT21HMDB01-B2 - +25% accuracy on H800 - Models already wired into ops pipelines What’s different: Agents autonomously design and evolve ML models (not manual tuning, not classic AutoML) Status: Running in productio
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by FreshmanD 9mo ago
We built LoongFlow after struggling with prompt-heavy agent systems that didn't improve across runs. Instead of tuning prompts, we structure agent behavior as an iterative plan–execute–summarize loop, where failures are explicitly summ
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Show HN: LoongFlow – Directed evolutionary search framework for LLM agents(github.com)
1 points by FreshmanD 9mo ago|0 comments
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Join Us in Building LoongFlow – Cognitive Evolutionary AI Framework(github.com)
1 points by FreshmanD 9mo ago|1 comments
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by FreshmanD 9mo ago
We’re building LoongFlow, a cutting-edge open-source evolutionary agent framework that integrates large language model reasoning into evolutionary search. If you’re passionate about autonomous agents, AI optimization, or open-source collabo
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by FreshmanD 9mo ago
Each task is unique, unless we provide share memory for them. It means when you start a task, it will run the full evolutionary process from the start.
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by FreshmanD 9mo ago
Hi HN, we are the team behind LoongFlow. We built this framework to use evolve thinking solve any tasks. LoongFlow brings Evolutionary Algorithms (EA) into the agent workflow. It evolves taskss over generations (via selection, crossover, an
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Show HN: LoongFlow – Better Than Google AlphaEvolve(github.com)
2 points by FreshmanD 9mo ago|5 comments
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by FreshmanD 9mo ago
Hi HN, we are the team behind LoongFlow. We built this framework to solve the problem of Agent brittleness—where standard ReAct agents often get stuck or fail when prompts aren't perfectly hand-tuned. Instead of manual prompt engineeri
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Show HN: LoongFlow – An evolutionary framework for self-optimizing Agents(github.com)
4 points by FreshmanD 9mo ago|1 comments