Show HN: HyperFlow – A self-improving agent framework built on LangGraph

Category: ai-ml

Tags: ai-agents, self-improving, langgraph, evolutionary-algorithms, experimental

Score: 6.0/10 (Innovation: 7, Technical: 6, Documentation: 7, Utility: 4)

HyperFlow is an experimental framework for creating self-improving AI agents where a MetaAgent rewrites its own source code, prompts, and tools based on evaluation scores to evolve better TaskAgents over generations. It's interesting because it implements a self-referential evolutionary loop inspired by recent research, allowing agents to autonomously improve without manual developer intervention.

Target audience: ai researchers, ml engineers, backend devs

Repository: https://github.com/lablnet/HyperFlow · Python · MIT

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