For the complete documentation index, see llms.txt. Markdown variants are available by appending .md to any URL or sending an Accept: text/markdown header. An agent skill is available at /.well-known/agent-skills/site-skill.md.
346
Sponsor

Deep Search

A multi-agent deep search system that researches questions by clarifying intent, planning queries, evaluating results, and synthesizing answers.

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.md

Customization

  • Edit index.ts to change the model, description, or system prompt.
  • Add route-local tools under tools/; tool input and output types are inferred from TypeScript.
  • Run dawn verify before deploying generated LangGraph artifacts.