NVIDIA researchers have released SoL-Pi, featuring four harness mechanisms for the open-source Pi coding agent discovered via auto-research loops. It reduces…
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Top 3 papers on HF Daily Paper are all unusually delightful and interesting reads for anyone on the leading edge of local LLMs, agent harness optimization, etc, felt like sharing. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression https://huggingface.co/papers/2609.19969 Cross-layer KV reuse plus FP4 KV caching brings the global KV cache to 890 bytes per token, about a quarter of V4-Flash. SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness https://huggingface.co/papers/2609.20519 Auto-research loops that improve the agent harness, cutting token traffic by 44.7 to 49.0% at comparable performance. An Empirical Study of Harness Design for Coding Agents https://huggingface.co/papers/2609.20804 Varies planning, action space, and context management across 17
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