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AI ResearchDifficulty: Advanced 6 Nodes · Verified 2026-10-24
LangGraph Multi-Agent Research & Fact-Checking State Machine
Deterministic multi-agent state graph built with LangGraph (TypeScript/Python). Features Planner, Web Researcher, Fact-Checker, and Report Synthesizer with human-in-the-loop approval gates.
Interactive Pipeline Architecture
Click any node below to inspect its configuration
Integrations: LangGraph → LangChain → Tavily Search API → Claude 3.7 / GPT-4o
Active Node: User Query Input
Accepts research question and depth parameters
Node Role: Trigger
Step-by-Step Setup Instructions
- 1Download the LangGraph template archive and extract into your workspace.
- 2Run npm install (or pip install -r requirements.txt for Python).
- 3Set ANTHROPIC_API_KEY and TAVILY_API_KEY in your .env.
- 4Execute npx ts-node src/index.ts to run the state graph.
Connected Services & Credentials
LangGraphLangChainTavily Search APIClaude 3.7 / GPT-4o
Production Error-Handling Notes
Implements exponential backoff on rate-limited search APIs and graceful partial fallback when secondary sources are unavailable.
langgraph-multi-agent-researcher.n8n.json
{
"name": "LangGraph Multi-Agent Architecture",
"engine": "langgraph",
"stateGraph": [
"Planner",
"Researcher",
"Verifier",
"Synthesizer"
]
} Full Production Bundle
AI Agent Starter Kit ($19)
A clean, framework-light TypeScript skeleton for building reliable AI agents without heavy abstraction bloat. Includes tool-calling loops, JSON schema output enforcement, SQLite/Turso conversation memory, and automatic retry with exponential backoff.