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.

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.

DSPy is a framework for building complex AI systems like RAG pipelines and agents using declarative programming. It automatically optimizes prompts and LM calls based on your data, moving beyond manual prompt engineering. Use it to create modular, maintainable, and systematically improved AI applications.