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deepseek-harness discussion
deepseek-harness reviews and mentions
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DeepSeek Harness: What Happens When the Agent Runtime Becomes the Product
DeepSeek Harness — official GitHub repository
- DeepSeek harness: what doors does config over code open?
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DeepSeek Harness: Quick Start, Four Modes, and Plugin Boundaries
The official DeepSeek Harness repository is MIT-licensed and built on Cordis. Cordis loads and unloads plugins and manages their dependencies; it does not supply the agent's capabilities by itself. Those capabilities come from plugins and can be selected or replaced in configuration.
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Shipping a Plugin That Contains No Code
Rotifer now installs into DeepSeek Harness. The package we ship to it contains no runtime code of ours — not a compiled module, not a wrapper, not an entry point. Two lines of configuration, four skill files, and nothing that executes.
- DeepSeek Harness (dsh) คืออะไร? เจาะลึกคู่แข่งโค้ดโอเพ่นซอร์สของ Claude
- DeepSeek Harness “Everything Is a Plugin”: choose the right Cordis extension seam
- DeepSeek Harness
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How DeepSeek Harness Saves Tokens by Not Editing History
The kernel under that is Cordis, a plugin system where every registration is an effect, and every register function hands back the thing that undoes it. Nothing gets installed without a way to uninstall it. DeepSeek did not invent it. It grew out of the Koishi chatbot stack, and they vendored it rather than taking it as a floating dependency. The point for this article is smaller than the paper. A swap must not reach backward into history, or the cache dies.
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DeepSeek Harness got append-only right. Its token projection still misses what compaction costs.
I filed the compaction gap and the retry replacement upstream on August 15, as discussion #1886. Same day, yha9806 posted a working fix on a fork (63688b0): it folds compaction/summary.usage into the totals, treats a finish chunk with an error or aborted reason as an attempt boundary so retried attempts add instead of replace, and bumps tokenUsage.stateVersion from 1 to 2. I re-folded my corpus against it and the corrected totals matched independently, which is a better outcome than agreement on prose. The attempt-boundary approach is also better than what I proposed, because it needs nothing outside the package.
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Why is the GitHub trending page weirdly excluding DeepSeek projects?
Hi, this is Tianyi from DeepSeek AI's Harness team.
I'm looking to get in touch with someone from GitHub, as I found it weird that https://github.com/trending page doesn't seem to include https://github.com/deepseek-ai/deepseek-harness at all. The project was rapidly being starred, forked, and plugin'ed by the GitHub community in the past few days.
I wonder whether we were false positive'ed by some mechanism or something. Some colleague told me that they vaguely remembered that other popular DeepSeek repositories such as https://github.com/deepseek-ai/DeepSeek-R1 also didn't show up in the trending page when it was in fact trending in the community. (I didn't fact check that though.)
Is there some way this can be resolved? Happy to help in some way that I can.
Feel free to reach out by email via [my first name at deepseek dot com].
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A note from our sponsor - AppSignal
www.appsignal.com | 4 Sep 2026
Stats
deepseek-ai/deepseek-harness is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of deepseek-harness is TypeScript.