
Multi-Agent Collaboration LangGraph
blueprint · 3 agents
20000★ stars
What it does
The canonical LangGraph two-agent network: a researcher with web search gathers the data, a chart generator with a Python REPL renders it, and the graph routes between them based on who is needed next. The starting point for agent-to-agent handoffs.
Agent flow
1 · Researcher
Gather the data
tavily search
2 · Chart generator
Render the chart
python REPL
↔ Router
Hand off until done
graph edges
get the code
View the source on GitHub ↗
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More in Core patterns
Browse all →Supervisor Team
com.socketcat/supervisor-team
LangGraph
A supervisor decides who works next — a researcher who searches or a coder who edits the repo — and assembles the result when the work is done.
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