Let's take a close look at 7 parts I looked at closely. Let’s walk through them one by one. 1. Agent Loop Core The heart of Codex. Code Path: The loop is not recursive — it's an iterative async state ...
这不是一个 Chat UI。它是一个 Agent Harness — 模型的执行环境。 就像 Claude Code 是 Claude 在终端里的 harness，Claude AI Harness 是 Claude 在浏览器里的 harness。模型在这里拥有搜索、读网页、跑代码 ...
Most MCP servers map one tool per API endpoint. For a platform as broad as Harness, that means 240+ tools — and LLMs get worse at tool selection as the count grows. Context windows fill up with ...
The SWE-bench [1] evaluation framework has catalyzed the development of multi-agent large language model (LLM) systems for addressing real-world software engineering tasks, with an initial focus on ...
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