Automação

Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review → research-refine-pipeline to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.

Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to \"\u4e32\u8d77\u6765\", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.

Workflow 3: Full paper writing pipeline. Orchestrates paper-plan → paper-figure → figure-spec/paper-illustration/mermaid-diagram → paper-write → paper-compile → auto-paper-improvement-loop to go from a narrative report to a polished PDF. At `— effort: max | beast` (or explicit `— assurance: submission`), Phase 6 gates the Final Report on `verify_paper_audits.sh` (resolved per integration-contract

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \\\"robotics idea discovery\\\", \\\"\u673a\u5668\u4eba\u627eidea\\\", \\\"embodied AI idea\\\", \\\"\u673a\u5668\u4eba\u65b9\u5411\u63a2\u7d22\\

Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Phase 0 physical isolation, Phase 0.5 health + anonymity check, Phase 1 audit (proof / claim / citation), Phase 2 microedits via auto-loop with edit-whitelist + citation-audit --soft-only, Phase 3 k

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navig

Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Phase 0 physical isolation, Phase 0.5 health + anonymity check, Phase 1 audit (proof / claim / citation), Phase 2 microedits via auto-loop with edit-whitelist + citation-audit --soft-only, Phase 3 k

Workflow 1: Full idea discovery pipeline. Orchestrates research-lit \u2192 idea-creator \u2192 novelty-check \u2192 research-review \u2192 research-refine-pipeline to go from a broad research direction to validated, pilot-tested ideas. Use when user says \\\"\u627eidea\u5168\u6d41\u7a0b\\\", \\\"idea discovery pipeline\\\", \\\"\u4ece\u96f6\u5f00\u59cb\u627e\u65b9\u5411\\\", or wants the complete

Um framework para construir aplicações com LLMs, utilizando agentes, cadeias e RAG. Suporta múltiplos provedores, mais de 500 integrações, agentes ReAct, chamada de ferramentas, gerenciamento de memória e recuperação de vetores, ideal para prototipagem rápida e implantações em produção.

Plataforma de agentes de IA autônomos para construir e implantar agentes contínuos. Use ao criar agentes de fluxo de trabalho visual, implantar agentes autônomos persistentes ou construir sistemas complexos de automação de IA em várias etapas.

Fornece orientação para o pós-treinamento de LLMs com RL usando slime, um framework Megatron+SGLang. Utilize ao treinar modelos GLM, implementar fluxos de trabalho personalizados de geração de dados ou precisar de integração estreita com Megatron-LM para escalonamento de RL.

Fluxos de Trabalho Agênticos do GitHub