Unverified85% confidenceFactTime unknown
SWE-Agent架构通常包括文件浏览器、搜索工具、编辑器和终端，模型作为Agent的大脑进行规划和工具调用
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Qwen在SWE-bench持续领跑：开源AI编程模型的崛起
twitterSWEbench
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UnverifiedSWE-agent and Devin are typical implementations of the plan-execute-reflect Agent architecture.82% similarVerifiedAn Agent is an application-layer architecture built on top of an LLM that enables the model to decompose complex tasks, invoke external tools, maintain context state, and iteratively optimize results by introducing mechanisms such as Planning, Memory, Tool Use, and Reflection.74% similarUnverifiedEmbedding Agents into specialized tools (such as IDEs, document software, Notebooks, monitoring platforms, and design tools) is one of the mainstream forms of future vertical Agents.73% similarUnverifiedBackground Agents的底层依赖于Agent Loop架构，通过RAG技术索引整个项目代码库，并通过工具调用执行文件读写、终端命令、代码搜索等操作72% similarUnverifiedIn the Agent architecture, the LLM is responsible for intent understanding and step planning, while actual execution is delegated to external tools such as calculators, search engines, and API endpoints.72% similar
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