An open-source framework enabling AI agents to automate Kubernetes operations.
An open-source platform for building stateful AI agents with long-term memory and advanced reasoning.
A platform enabling co-ownership of AI through autonomous agent economies, allowing individuals to run AI agents and earn rewards.
A modular open-source Python framework for building and deploying LLM-based agents, pipelines, and workflows.
An open-source framework inspired by the Internet, designed to facilitate collaboration among heterogeneous AI agents across diverse environments.
An open-source framework utilizing large language models to automate the entire software development process through multi-agent collaboration.
An open-source framework representing language agents as optimizable graphs to enhance problem-solving with Large Language Models.
An open-source framework for building AI agent systems, simplifying the creation of event-driven, distributed, scalable, and resilient agentic applications.
An open-source, low-code framework for building and managing multi-agent LLM systems, emphasizing simplicity, customization, and efficient human-agent collaboration.
An open-source framework for building and benchmarking environments tailored for large language model (LLM) agents across multiple platforms.
An open-source framework that accelerates the deployment of multi-agent AI workflows from prototype to production.
An open-source framework for building large language model-based agents with modular components and tool integration.
