mohd-faizy/Agentic_AI_using_LangGraph
Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.
This project helps AI solution builders create advanced AI systems that can independently plan, execute, and remember tasks, moving beyond simple question-and-answer bots. It takes high-level goals or problems and produces a series of coordinated actions by specialized AI agents to achieve those goals. This is for AI developers, researchers, and engineers building sophisticated, autonomous AI applications.
Use this if you need to build complex AI applications where multiple AI agents collaborate, maintain context, and perform multi-step reasoning to achieve specific objectives.
Not ideal if you're looking for a simple, single-prompt AI tool or don't have experience building AI systems.
Stars
19
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/mohd-faizy/Agentic_AI_using_LangGraph"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xerrors/Yuxi
结合知识库管理的 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and...
pipeshub-ai/pipeshub-ai
PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and...
xerrors/Yuxi-Know
结合LightRAG 知识库的知识图谱智能体平台。 An agent platform that integrates a LightRAG knowledge base and...
daxa-ai/pebblo
Pebblo enables developers to safely load data and promote their Gen AI app to deployment
gca-americas/way-back-home
🚀 Way Back Home