neopen/story-shot-agent helps turn isolated prompts and tools into repeatable agent workflows

Описание и применение

neopen/story-shot-agent: open-source проект в категориях Orchestration, MCP, Knowledge/RAG, AI/ML, Backend. Практическое применение: coordinate multi-agent workflows; add tool-use pipelines. Уровень готовности: готов для серьезного pilot с проверкой license, security и maintainer activity.

Задача

neopen/story-shot-agent helps turn isolated prompts and tools into repeatable agent workflows.

Результат

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Рабочий процесс

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Доказательства

剧本分镜工具智能体（PenShot）：电影/动漫/短剧/小说/剧本→分镜→片段→prompt | 基于 LangGraph+LLM，自动解析任意格式剧本，生成 Sora/Veo/Runway 等模型可用的连贯text-to-video提示词。保持角色/剧情跨片段一致，支持 MCP/REST API/函数调用 | Python库 + A2A集成。（LLM-powered screenplay-to-video-prompt agent. Break scripts into Sora/Veo-ready shots with character consistency）

Источник