LangChain推的GPT Researcher基于Deep Agents，代码更少，引用翻倍，7/10任务赢，开源省心。
GPT Researcher是由Assaf Elovic和Tavily开发的开源深度研究实现，在GitHub上接近30k星。它基于LangChain的Deep Agents，采用规划-并行研究-审查-发布流程，代码量更少。与Tavily Web搜索相比，其验证引用数量约2倍，质量相当或更好，在Deep Research Bench的10项任务中7项胜出。
GPT Researcher, built on deepagents, is the easiest way to get started building a deep research agen...
GPT Researcher, built on deepagents, is the easiest way to get started building a deep research agent! Sydney Runkle @sydneyrunkle GPT Researcher from @assaf_elovic and @tavilyai is a high-performance, open-source deep research implementation (almost at 30k ⭐), now built on @LangChain 's Deep Agents. It uses the same plan → parallel research → review → publish pipeline as the original LangGraph implementation, but with far less code: planning, delegation & context management are emergent in the harness rather than hardcoded in the graph. Swapping GPT researcher in for tavily web search gives ~2x the verified citations at equal-or-better quality, with GPT-researcher winning in 7/10 Deep Research Bench tasks! github.com/assafelovic/gp… 🔗 View Quoted Tweet 💬 3 🔄 1 ❤️ 12 👀 3523 📊 4 ⚡