"[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb)"

Collaborative Multi-Agent AI System with LangGraph - benitomartin/multiagent-langgraph-circleci

A Python library for creating swarm-style multi-agent systems using LangGraph. A swarm is a type of multi-agent architecture where agents dynamically hand off control to one another based on their specializations.

Now that we've defined our tools and made some helper functions, will create the individual agents below and tell them how to talk to each other using LangGraph. We now need to define the nodes. First, we'll create a utility to create a system prompt for each agent. def make_system_prompt(suffix: str) -> str: return ( "You are a helpful AI assistant, collaborating with other assistants."

Framework to build resilient language agents as graphs. - langgraphjs/examples/multi_agent/multi_agent_collaboration.ipynb at main · langchain-ai/langgraphjs

A collaborative Agent-to-Agent (A2A) system built using LangChain and LangGraph, designed to generate detailed and well-structured research reports through intelligent agent cooperation.

This project explores multiple multi-agent architectures using Langchain (LangGraph), focusing on agent collaboration to solve complex problems.

Multi-Agent Collaboration Design Patterns Built on LangGraph with 10+ battle-tested patterns, each with complete code, architecture diagrams, and benchmarks. - GitHub - iuyup/AgentFlow: Multi-Agent Collaboration Design Patterns Built on LangGraph ...

So far, we’ve built a multi-agent system using the Supervisor approach, where a central agent manages the flow and delegates tasks to sub-agents. An alternative is the Swarm Architecture, as described in the LangGraph docs. In a swarm, agents collaborate and pass tasks directly among themselves, without a central coordinator.

This multi-agent example uses OpenAI's ChatGPT 4 model and the LangChain Tavily search tool to write a report about the latest inflation figures in the European Union. Unlike web search tools, the LangChain Tavily search tool delivers actual search results, rather than just links or raw web (HTML) pages. This example uses a total of 5 LangGraph agents (nodes).

The purpose of this repository is to demonstrate how LangGraph can be used to build a stateless multi-agent workflow to serve as an assistant for data analysis.

Sign in

March 6, 2025 - Want to dive deeper? Explore the implementation of Multi-Agent Collaboration and Orchestration using LangGraph for Mistral Models on GitHub to observe the code in action and try out the solution yourself.

A production-ready multi-agent orchestration system built with LangGraph and LangChain for complex AI workflows with persistent memory.

This project demonstrates how to build both single-agent and multi-agent systems using LangGraph, a framework for orchestrating stateful LLM workflows.

gigachain ai-orchestration agent-orchestration langgraph-agents universal-agent open-source-agents general-purpose-agent repl-agent code-execution-agent langgraph-orchestrator gigachat-agent gigaagent ... Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know. ai multi-agent multi-agent-systems ai-agents autogen agent-management ai-tools ai-agent llm llm-tools crewai langgraph crewai-tools agent-memory langgraph-agents

🕸️ LangGraph - The core framework for building stateful, multi-agent systems with complex workflows, collaboration, and memory management.

# Quick decision tree: if task == "simple_sequential_steps": use_pattern = "Prompt Chaining" elif task == "needs_branching_logic": use_pattern = "Routing" elif task == "multiple_independent_tasks": use_pattern = "Parallelization" elif task == "requires_high_quality_output": use_pattern = "Reflection" elif task == "needs_external_data_or_apis": use_pattern = "Tool Use" elif task == "multi_step_research_or_analysis": use_pattern = "Planning" elif task == "complex_domain_with_specialized_needs": use_pattern = "Multi-Agent Collaboration"

Multi-Agent Systems · Supervisor and swarm patterns for agent collaboration · Production Deployment · LangGraph Platform, Docker, and self-hosted options · Debugging · Time-travel, LangSmith tracing, and testing strategies · Concept · Description · StateGraph ·

April 14, 2025 - You can also refer to the following GitHub repo for Amazon Bedrock multi-agent collaboration code samples.