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缓存命中率99.93%!DeepSeek最适合的Harness来了,GitHub狂揽8.6万Star

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Merged summary

TL;DR - Open-source coding-agent harness Pi reportedly pairs efficiently with DeepSeek by preserving stable, append-only context, achieving roughly 99.93% cache hits and the lowest successful-task cost in a benchmark of eight harnesses.

  • Pi defaults to four tools—file reading, writing, editing, and command execution—with optional capabilities added through extensions and skills.
  • Native DeepSeek support preserves reasoning content, maps reasoning levels, and fixes session-replay compatibility issues.
  • Composio’s benchmark reported an average cost of about $0.028 per successful task for Pi, versus $0.195 for Claude Code using the same DeepSeek model.
  • DeepSeek is reportedly building an official coding harness to connect its models with terminals, repositories, and developer toolchains.

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缓存命中率99.93%!DeepSeek最适合的Harness来了,GitHub狂揽8.6万Star

WeChat: 极市平台 2026-08-11
Public signals N/A
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-12 14:27:29.691297 UTC

TL;DR - Open-source coding-agent harness Pi reportedly pairs efficiently with DeepSeek by preserving stable, append-only context, achieving roughly 99.93% cache hits and the lowest successful-task cost in a benchmark of eight harnesses.

  • Pi defaults to four tools—file reading, writing, editing, and command execution—with optional capabilities added through extensions and skills.
  • Native DeepSeek support preserves reasoning content, maps reasoning levels, and fixes session-replay compatibility issues.
  • Composio’s benchmark reported an average cost of about $0.028 per successful task for Pi, versus $0.195 for Claude Code using the same DeepSeek model.
  • DeepSeek is reportedly building an official coding harness to connect its models with terminals, repositories, and developer toolchains.
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