Explore Agents

In this repository I will showcase my cool multi agent system projects with Crew AI, and will reference other cool proje

Use google sheets as a gui for crewAI

Multi AI Agents System from Scratch in pure python without any frameworks.

Java version of Microsoft AutoGen, Enable Next-Gen Large Language Model Applications

A collection of notebooks, cookbooks, and recipes showcasing fun and effective ways to use CrewAI's agentic workflow imp

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environ

Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构（AutoGen + LangGraph），通过自然语言处理（NLP）、自动化搜索和知识库构建，帮助用户高效查找学术论文、分析文献内容，并进行

Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

Multi-agent system that automates Gmail inbox management: categorizes emails, applies labels, and generates contextual r

Demo showcasing how to output CrewAI agent task outputs on the Streamlit UI.

Low code tool to rapidly build and coordinate multi-agent teams

Tool for private interaction with your documents

The FunctionChain is a tool that simplifies and organizes the process of invoking OpenAI functions in your Node.js appli

Automate complex business workflows with our Multi-AI-Agent Systems using crewAI. This framework leverages autonomous, r

AutoGen is a multi-agent conversation framework facilitating the development of next-gen LLM applications, highlighted b

crewAI Tools is a library that provides a framework for developing sophisticated tools to enhance crewAI agents, with me

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, ch

LangGraph.js is a TypeScript and JavaScript library enabling the development of stateful, multi-actor applications with

Langchain features VectorDBQAChain, which integrates LLMs and vector databases into agent tools for enhanced question-an

LangChain JS is a framework for developing applications powered by language models, enabling context-aware and reasoning