Overview
[Product intro] SciClaw is an AI co-worker system for researchers. An active Agent framework links literature search, data analysis, and experiment execution. Not a mere chat assistant—it is a project-centered, task-driven collaboration platform that moves research from manual step-by-step to system-led coordination, helps teams accumulate experience, cut repetitive work, and raise project quality and speed. [Product features] Project-centric closed loops: each project has its own knowledge base, task list, and chat space so contexts stay separate. Active Agent collaboration: literature search, deep research, and long-running compute chain into automated research flows. Live guidance and streaming: inject instructions while Agents run without stopping the task. Smart knowledge-base retrieval: RAG mode auto-retrieves and cites project docs; conclusion files auto-ingest. Structured document workshop: export research results and experiment data as structured reports in one tap.
Connected profiles
Sources · 0Sources & provenance
English text is maintained separately from the original record. Consult the original source before citing a fact.
No source links are available for this profile.
Original source text
Names may use phonetic renderings when no English name is supplied. The original wording is retained below.
【产品介绍】SciClaw 是一款专为科研人员打造的 AI co-worker 协作系统。它通过主动 Agent 框架串联文献检索、数据分析与实验执行等核心环节。该产品不再是单纯的聊天助手，而是以项目为中心、任务为驱动的协作平台。致力于让科研任务从人工逐步推进转向系统主动协同推进。帮助研究团队持续沉淀研究经验并有效减少重复性劳动。能够不断提升科研项目的推进质量与产出速度。【产品功能】以项目为核心的闭环管理：每个项目拥有独立的知识库、任务列表和对话空间，确保不同研究的上下文互不干扰。主动 Agent 协同机制：集成文献检索、深度研究及长耗时计算等功能，实现科研全流程的自动化衔接。实时引导与流式交互：支持在 Agent 运行过程中实时注入指令，无需中断任务即可动态调整执行逻辑。智能知识库检索模式：开启 RAG 模式后可自动检索并引用项目关联文档，任务生成的结论文件会自动入库沉淀。结构化文档生成工坊：内置专门的文档生成工作区，支持将科研成果、实验数据一键导出为结构化的报告文件。