autogpt-agents

SGLang is a high-performance LLM serving framework that uses RadixAttention for automatic prefix caching, enabling significantly faster structured generation. It's ideal for developers needing JSON/regex outputs, constrained decoding, or building agentic workflows with tool calls. Use it when you require up to 5× faster inference than alternatives like vLLM in scenarios with shared prefixes.

CrewAI is a lightweight multi-agent orchestration framework for building teams of specialized AI agents that collaborate autonomously on complex tasks. It enables role-based agent collaboration with memory and supports sequential or hierarchical workflows for production use. The framework is built without LangChain dependencies for lean, fast execution.

AutoGPT Agents is a platform for building and deploying persistent, autonomous AI agents using visual workflows or code. It's ideal for developers creating complex, multi-step automation systems that require continuous operation or external triggers. Key features include a drag-and-drop visual builder and support for deploying agents via webhooks and schedules.

LlamaIndex is a data framework for building RAG applications, specializing in ingesting documents from numerous sources and indexing them for querying. It provides key components like vector indices and query engines to enable document Q&A, chatbots, and knowledge retrieval over private data. Use it when you need to connect LLMs to your own data for data-centric applications.