Tags: #llm-framework

A Python agent framework built by the Pydantic team, designed to simplify and accelerate the development of production-grade Generative AI applications with type safety and robust observability.

A lightweight, powerful, and provider-agnostic Python framework for building complex multi-agent workflows with various LLMs.

Yao is an open-source, single-binary runtime for rapidly building AI agents and full-stack web applications, integrating AI orchestration, data models, and UI components.

CowAgent is a lightweight, extensible AI assistant framework enabling autonomous task planning, multi-modal interaction, and integration across various platforms, powered by large language models.

An open-source framework for building and deploying intelligent AI agents capable of real-world tasks, from app development to research and automation, with full control over models and costs.

EvoAgentX is an open-source framework for building, evaluating, and self-evolving LLM-based AI agents and agentic workflows in an automated and goal-driven manner.

CowAgent is a lightweight, extensible AI assistant framework enabling autonomous task planning, multi-modal interaction, and integration across various platforms, powered by large language models.

A Python library simplifying the development of multimodal language agents by abstracting complex engineering and providing native multimodal support.