Ever wonder what's actually holding your AI agent together?
It's not the model. It's the layer underneath. 🔧 A model is a brain. On its own it can't open a file, remember yesterday, or use a tool. The harness is everything wrapped around it: → The tools → The memory →
DeepSeek Harness vs Claude Code is closer than I expected.
But they win for very different reasons. Here’s the practical breakdown: → DeepSeek Harness is free and open source. → Claude Code gives more polished output. → DeepSeek finished the test build in 11 minutes. →
Think of an AI model as the brain.
The harness gives it: Memory. Tools. Files. Skills. A workspace. Rules. The think → act → check → repeat loop. Claude Code and Hermes are harnesses too. DeepSeek is now building the body, not just the brain.
Same prompt. Very different AI economics.
DeepSeek Harness: → ~11 minutes to finish. → ~483,000 tokens used. Claude Code: → Still working around 30 minutes. → ~48,000 tokens used during the comparison. DeepSeek is dramatically cheaper per token. But it also consumed
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