FareedKhan-dev/Multi-Agent-AI-System
Building a Multi-Agent AI System with LangGraph and LangSmith
This project helps AI application developers build reliable AI agents by combining multiple smaller AI agents into a powerful system. You provide initial AI models and design the interaction, and the system produces a robust multi-agent application. This is ideal for AI product managers, machine learning engineers, and advanced AI developers.
289 stars. No commits in the last 6 months.
Use this if you are building complex AI applications and need a systematic way to manage multiple AI models, reduce errors like 'hallucinations,' and evaluate their performance before deployment.
Not ideal if you are looking for an out-of-the-box solution for a specific business problem, as this is a framework for building AI systems rather than a direct end-user tool.
Stars
289
Forks
70
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/FareedKhan-dev/Multi-Agent-AI-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related agents
patterns-ai-core/langchainrb
Build LLM-powered applications in Ruby
3uyuan1ee/Fix_agent
基于 LangChain1.0和DeepAgents的代码优化Agent
tadata-org/langchain-runner
Zero-configuration way to expose LangChain/LangGraph agents as autonomous services with...
skygazer42/GustoBot
五星大厨:全面Multi-Agent 的客服机器人，基于langraph实现，txt2sql ,txt2cypher, lightrag, 多模态 等
datawhalechina/easy-langent
📚“langent”由“lang”与“agent”合并而来的学习教程