kayba

5 ms·

1. 1.▲
   Show HN: MindfulClaude – Guided breathing during Claude Code's thinking time(github.com)

   7 points by kayba 7mo ago|1 comments
2. 2.▲
   Show HN: LLM agents that write Python to analyze execution traces at scale(github.com)

   5 points by kayba 7mo ago|0 comments
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   Show HN: Open-source agent learning layer: 30% to 100% success on browser agents(github.com)

   3 points by kayba 10mo ago|0 comments
4. 4.▲
   by kayba 11mo ago

   You're right that cost and latency are important considerations. However, the research shows this isn't just about finding better templates, it's about enabling agentic systems to learn and improve from their previous attempt
5. 5.▲
   by kayba 11mo ago

   Thanks for the great questions! Here's how we're tackling these: 1. Context growth management: We avoid full context rewrites entirely, they cause context collapse where the LLM compresses away important details. Instead, we use d
6. 6.▲
   Show HN: Open-source implementation of Stanford's self-learning agent framework(github.com)

   10 points by kayba 1y ago|5 comments