LLM
活跃简介
LLM 是 Simon Willison 开发的开源命令行与插件框架,用统一接口连接多种模型,并支持嵌入、模板、工具扩展与实验型 Agent 工作流,适合开发者快速验证想法。
LLM 是 Simon Willison 开发的开源命令行与插件框架,用统一接口连接多种模型,并支持嵌入、模板、工具扩展与实验型 Agent 工作流,适合开发者快速验证想法。
Open-source deep research agent from Alibaba Tongyi Lab, using multi-stage iterative information retrieval and reasoning to conduct deep analysis, synthesis, and summarization of complex topics with web search and document analysis.
Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider, using Stream's edge network for ultra-low latency realtime interactions.
基于 LangGraph、FastAPI 和 Streamlit 构建的 AI Agent 服务全栈工具包,提供完整的 Agent 服务架构参考实现,包含 API 后端和交互式前端。
A deep research agent framework optimized for complex research and prediction tasks, with MiroThinker-1.7 and MiroThinker-H1 models achieving 74.0 and 88.2 on BrowseComp benchmark, supporting multi-step reasoning and information retrieval.