I made ThoughtDAG – LLM as an editable graph, wires are the context

说明与用途

ThoughtDAG** 将大概: ThoughtDAG 提供可编辑的图形化 LLM 框架，上下文通过“线”连接，使得在不从零构建模型栈的情况下快速为应用添加 AI 能力。典型接入方式是将其作为依赖库或服务引入项目，通过配置图节点和边来定义工作流（如 RAG、Agent），但因集成信息稀疏，建议先手动检查代码和文档。目前处于中等成熟度，适用于原型或内部工作流，生产前需进行依赖、维护

实际用途

I made ThoughtDAG – LLM as an editable graph, wires are the context helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

限制与审查说明

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.