Output will stream here when you run the agent.
Summary
The Deep Search Agent is a multi-agent system that researches questions through an iterative process. It clarifies user intent, plans search queries, evaluates results for completeness, and synthesizes a comprehensive answer. The system uses 4 specialized agents working together in a workflow to produce well-researched, cited answers.
Installation
$ pnpm dlx shadcn@latest add @agentcn/langgraph/deep-search
Composition
├── index.ts
├── instructions.md
├── skills/research/SKILL.md
├── subagents/answerer/index.ts
├── subagents/answerer/instructions.md
├── subagents/intent-clarifier/index.ts
├── subagents/intent-clarifier/instructions.md
├── subagents/research-planner/index.ts
├── subagents/research-planner/instructions.md
├── subagents/search-result-evaluator/index.ts
├── subagents/search-result-evaluator/instructions.mdCustomization
- Edit
index.tsto change the model, description, or system prompt. - Add route-local tools under
tools/; tool input and output types are inferred from TypeScript. - Run
dawn verifybefore deploying generated LangGraph artifacts.