{"id":22689815,"url":"https://github.com/machinelearningzuu/llm-agents","last_synced_at":"2026-03-19T23:26:04.748Z","repository":{"id":238286596,"uuid":"796251794","full_name":"machinelearningzuu/LLM-Agents","owner":"machinelearningzuu","description":"This repository contains projects of LLM Agents that empowers users to efficiently construct large language model (LLM)-based agents. 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Each task will be assigned to an agent.\n\n\n### Agent\n1. Perform tasks\n2. Make decisions\n3. Communicate with other agents\n\n#### Three Components of a Good Agent\n1. Good LLM (GPT-x, Mistral, Claude, Gemini)\n2. Good Tools (Search, Calculate, Comparision, Shell, ...)\n3. Good Agent Frameworks (LangGraph, LlamaIndex, LangChain, CrewAI)\n\n##### Good LLM\n1. Handle Long Contexts\n2. Handle Long Outputs\n3. Good at Reasoning\n\n##### Good Tools\n1. Efficient\n2. Easy to Use\n3. Easy to Extend\n4. Easy to Integrate\n\n##### Good Agent Frameworks\n1. Good prompts that match the LLM (Same prompt not work for all LLMs)\n2. Highly customizations of LLM Tools\n3. Easy to use\n4. Flexibility\n\n### Tools\n\nThese are the tools that our agents will use to perform their tasks. These can be, for example, a search engine, a summarizer, a translator, etc.\n\n### Process\n\nA process dictates the way that our agents will work together. In this case, we will use a sequential process, which means that each agent will work one after the other.\n\n![image](https://alejandro-ao.com/crew-ai-crash-course-step-by-step/crewai-diagram.jpg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningzuu%2Fllm-agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningzuu%2Fllm-agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningzuu%2Fllm-agents/lists"}