Open-source framework for building, deploying, and serving powerful agentic workflows at scale with Llama 3.x and Granite models.
MetaGPT: AI-driven multi-agent framework for automated software development and project management, streamlining the development lifecycle.
FastAgency: Open-source framework accelerating multi-agent AI workflows from prototype to production with multi-framework support and API integration.
AutoGen: An open-source framework by Microsoft Research for building multi-agent LLM applications with flexible configurations.
PraisonAI: Multi AI Agents Framework to Automate Tasks. Low-code solution for building and managing multi-agent LLM systems.
Crab: Python-centric framework for building and benchmarking LLM agent environments with cross-platform deployment and fine-grained evaluation.
Agent Zero: A dynamic, general-purpose framework for creating custom AI Agents with multi-agent cooperation and real-time interaction.
Qwen-Agent: Agent framework for LLM applications, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
aiXplain offers a platform for building, deploying, and managing AI agents with a focus on adaptability, scalability, and trust.
Langbase is a serverless AI developer platform to build, collaborate, and deploy AI agents, apps, and AI features with ease.
xpander.ai: Build production-grade AI agents with a platform focused on security, reliability, and cutting-edge innovation for enterprises.
Epsilla is a RAG-as-a-Service platform for building production-ready AI agents with private data, knowledge graphs, and vector databases.
