<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>开源生态 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/categories/%E5%BC%80%E6%BA%90%E7%94%9F%E6%80%81/</link><description>Recent content in 开源生态 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 16 Jul 2026 11:30:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/categories/%E5%BC%80%E6%BA%90%E7%94%9F%E6%80%81/index.xml" rel="self" type="application/rss+xml"/><item><title>开源智能体生态2026：框架、工具与平台全景图</title><link>https://guijiagi.com/posts/b1-3ebc88c1/</link><pubDate>Thu, 16 Jul 2026 11:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-3ebc88c1/</guid><description>2026年开源智能体生态全景梳理，涵盖Agent框架、开发工具、部署平台与社区发展现状</description></item><item><title>开源大模型生态2026：Llama、Qwen、DeepSeek三足鼎立</title><link>https://guijiagi.com/posts/b1-4b9b3771/</link><pubDate>Thu, 16 Jul 2026 11:07:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-4b9b3771/</guid><description>2026年开源大模型生态格局深度分析，从Llama到Qwen到DeepSeek的技术路线与选型指南</description></item><item><title>开源智能体框架LangGraph深度实践：构建生产级Agent系统</title><link>https://guijiagi.com/posts/b2-39413525/</link><pubDate>Thu, 16 Jul 2026 10:42:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-39413525/</guid><description>深入LangGraph框架的工程实践，涵盖状态管理、检查点、人机协作与生产部署的完整方案</description></item><item><title>开源智能体框架AutoGen深度解析：多Agent协作的工程实践</title><link>https://guijiagi.com/posts/b2-d83bc187/</link><pubDate>Thu, 16 Jul 2026 10:29:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-d83bc187/</guid><description>深入微软AutoGen框架的架构设计与工程实践，解析多Agent协作模式、代码执行与对话管理机制</description></item><item><title>开源大模型生态2026：Llama、Qwen、DeepSeek三足鼎立格局分析</title><link>https://guijiagi.com/posts/b2-1ca3f5e0/</link><pubDate>Thu, 16 Jul 2026 10:06:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-1ca3f5e0/</guid><description>深度分析2026年开源大模型生态格局，对比Llama、Qwen、DeepSeek等主流开源模型的技术特征与选型建议</description></item><item><title>AI Agent的开发者工具链生态：从原型到生产的全栈工具</title><link>https://guijiagi.com/posts/article-86/</link><pubDate>Mon, 13 Jul 2026 07:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-86/</guid><description>系统梳理AI Agent开发的全栈工具链，涵盖框架、评测、监控、部署等关键环节</description></item><item><title>开源vs闭源大模型：2026年的格局与趋势</title><link>https://guijiagi.com/posts/article-61/</link><pubDate>Mon, 13 Jul 2026 03:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-61/</guid><description>全面分析2026年开源与闭源大模型的竞争格局，从能力差距、商业模式、生态建设、安全治理多维度对比</description></item><item><title>开源大模型的商业化路径分析</title><link>https://guijiagi.com/posts/article-45/</link><pubDate>Mon, 13 Jul 2026 00:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-45/</guid><description>从Llama到DeepSeek，开源大模型如何找到可持续的商业化模式</description></item><item><title>开源大模型的商业化路径分析</title><link>https://guijiagi.com/posts/b2-85ab788e/</link><pubDate>Mon, 13 Jul 2026 00:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-85ab788e/</guid><description>从Llama到DeepSeek，开源大模型如何找到可持续的商业化模式</description></item><item><title>开源Agent框架全景图2026</title><link>https://guijiagi.com/posts/article-19/</link><pubDate>Sun, 12 Jul 2026 20:00:00 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API的完整方案</description></item><item><title>Open WebUI 2026部署：打造你的私有ChatGPT</title><link>https://guijiagi.com/posts/open-webui-2026-deploy/</link><pubDate>Thu, 02 Jul 2026 11:32:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-webui-2026-deploy/</guid><description>2026年Open WebUI部署指南，构建功能完整的私有AI对话平台</description></item><item><title>LlamaIndex 2026指南：数据驱动的LLM应用</title><link>https://guijiagi.com/posts/llamaindex-2026-guide/</link><pubDate>Thu, 02 Jul 2026 11:31:00 +0800</pubDate><guid>https://guijiagi.com/posts/llamaindex-2026-guide/</guid><description>2026年LlamaIndex框架使用指南，构建数据驱动的LLM应用</description></item><item><title>Haystack 2026 RAG实践：企业级检索增强生成</title><link>https://guijiagi.com/posts/haystack-2026-rag/</link><pubDate>Thu, 02 Jul 2026 11:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/haystack-2026-rag/</guid><description>2026年Haystack框架在企业RAG系统中的实践与优化</description></item><item><title>CrewAI生产实践2026：打造AI梦之队</title><link>https://guijiagi.com/posts/crewai-production-2026/</link><pubDate>Thu, 02 Jul 2026 11:29:00 +0800</pubDate><guid>https://guijiagi.com/posts/crewai-production-2026/</guid><description>2026年CrewAI框架在生产环境中的最佳实践与经验分享</description></item><item><title>AutoGen 2026多智能体：协作AI的新范式</title><link>https://guijiagi.com/posts/autogen-2026-multi-agent/</link><pubDate>Thu, 02 Jul 2026 11:28:00 +0800</pubDate><guid>https://guijiagi.com/posts/autogen-2026-multi-agent/</guid><description>2026年AutoGen多智能体框架解析，构建协作AI系统</description></item><item><title>LangChain 2026演进：从框架到平台</title><link>https://guijiagi.com/posts/langchain-2026-evolution/</link><pubDate>Thu, 02 Jul 2026 11:27:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-2026-evolution/</guid><description>2026年LangChain生态系统演进全景，从LLM框架到AI应用平台</description></item><item><title>vLLM 2026社区进展：高性能推理引擎的进化</title><link>https://guijiagi.com/posts/vllm-2026-community/</link><pubDate>Thu, 02 Jul 2026 11:26:00 +0800</pubDate><guid>https://guijiagi.com/posts/vllm-2026-community/</guid><description>2026年vLLM社区发展动态与技术创新，LLM推理引擎的标杆</description></item><item><title>Ollama 2026生态系统：本地LLM的最佳伙伴</title><link>https://guijiagi.com/posts/ollama-2026-ecosystem/</link><pubDate>Thu, 02 Jul 2026 11:25:00 +0800</pubDate><guid>https://guijiagi.com/posts/ollama-2026-ecosystem/</guid><description>2026年Ollama生态系统全面解析，从模型管理到生产部署</description></item><item><title>开源AI生态2026：HuggingFace与社区力量</title><link>https://guijiagi.com/posts/open-source-ai-ecosystem-2026/</link><pubDate>Tue, 30 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-source-ai-ecosystem-2026/</guid><description>2026年开源AI生态系统的全面梳理，涵盖HuggingFace、模型开源趋势、社区力量和开源AI的经济可持续性</description></item><item><title>Gemma 3评测：谷歌轻量开源模型</title><link>https://guijiagi.com/posts/gemma-3-evaluation/</link><pubDate>Tue, 30 Jun 2026 10:50:00 +0800</pubDate><guid>https://guijiagi.com/posts/gemma-3-evaluation/</guid><description>全面评测Google Gemma 3系列轻量开源模型，分析端侧部署表现</description></item><item><title>Llama 4系列评测：Meta开源旗舰的表现</title><link>https://guijiagi.com/posts/llama-4-series-evaluation/</link><pubDate>Tue, 30 Jun 2026 10:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/llama-4-series-evaluation/</guid><description>全面评测Llama 4系列模型，从405B到8B的开源旗舰表现分析</description></item><item><title>开源vs闭源大模型：2026年到底谁赢了</title><link>https://guijiagi.com/posts/open-vs-closed-llm-2026/</link><pubDate>Tue, 30 Jun 2026 09:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-vs-closed-llm-2026/</guid><description>2026年中期，开源与闭源大模型的路线之争终于有了阶段性答案。从性能差距到生态建设，从成本对比到安全考量，全面解析这场AI世纪之争</description></item><item><title>AutoGPT 2026：自主智能体的复兴与进化</title><link>https://guijiagi.com/posts/autogpt-2026-revival/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/autogpt-2026-revival/</guid><description>探索 AutoGPT 2026 年的重大架构升级，从自主目标执行到安全约束框架的全面进化</description></item><item><title>Dify 平台 2026 深度评测：开源 AI 应用开发平台</title><link>https://guijiagi.com/posts/dify-platform-2026-review/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/dify-platform-2026-review/</guid><description>深度评测 Dify 2026 版本，从可视化编排、Agent 能力、RAG 引擎到企业部署的全面分析</description></item><item><title>LangChain 2026 生态全景：从 LangGraph 到 LangSmith</title><link>https://guijiagi.com/posts/langchain-2026-ecosystem/</link><pubDate>Sun, 28 Jun 2026 11:00:00 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+0800</pubDate><guid>https://guijiagi.com/posts/openwebui-llm-interface/</guid><description>OpenWebUI大模型交互界面</description></item><item><title>RAGFlow开源RAG方案</title><link>https://guijiagi.com/posts/ragflow-opensource-rag/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/ragflow-opensource-rag/</guid><description>RAGFlow开源RAG方案</description></item><item><title>SGLang推理框架解析</title><link>https://guijiagi.com/posts/sglang-inference-framework/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sglang-inference-framework/</guid><description>SGLang推理框架解析</description></item><item><title>vLLM开源推理引擎</title><link>https://guijiagi.com/posts/vllm-opensource-inference/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/vllm-opensource-inference/</guid><description>vLLM开源推理引擎</description></item><item><title>AI Agent 市场：从 ClawHub 到 Hugging Face 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