Skip to main content
Back to trending

LangGraph-MultiAgents

A comprehensive multi-agent AI system built with LangGraph and Google Gemini. Features specialized agents (Coder, Enhancer, Researcher, Validator), RAG implementation, ReAct pattern, and supervisor orchestration. Includes data analysis, document drafting, and conversational agents with quality valid

  • agent-orchestration
  • agentic-ai
  • agentic-ai-development
  • ai-agents
  • gemini-ai
  • google-gemini
  • langchain
  • langchain-agents
  • langchain-agents-tools
  • langgraph
  • llm
  • multi-agent
  • rag
  • react-pattern
  • supervisor-pattern
View on GitHub
Stars
1
Forks
0
+ today
+1
Created
8mo

Ranking data as of October 27, 2026 (UTC).

Star History

Today, hour by hour

1 stars
01

Overview

A comprehensive multi-agent AI system built with LangGraph and Google Gemini. Features specialized agents (Coder, Enhancer, Researcher, Validator), RAG implementation, ReAct pattern, and supervisor orchestration. Includes data analysis, document drafting, and conversational agents with quality valid It ranks #576 on GitTiger, gaining +1 star on October 27, 2026 (UTC).

The project is written in Jupyter Notebook. It was created 8mo ago.

Installation
git clone https://github.com/Abdul-Halim01/LangGraph-MultiAgents.git
cd LangGraph-MultiAgents
# see README for setup