Open-source framework for developing AI agent systems with advanced memory management and integrations.
A decentralized platform for ideologically-transparent generative AI applications with a focus on privacy and unbiased outputs.
An open-source framework for deploying multiple LLM-based agents in task-solving and simulation applications.
Transforms business operations into agentic workflows using natural language prompts.
An open-source Python framework that simplifies LLM application development using a multi-agent programming paradigm.
An open-source framework for creating multi-agent language game environments to enhance AI communication and collaboration capabilities.
An open-source AI framework for building stateful, multi-actor applications with large language models (LLMs).
An experimental open-source system where multiple specialized GPT-4 agents collaborate to autonomously accomplish complex tasks.
A flexible and powerful open-source framework for managing multiple AI agents and handling complex conversations.
An open-source JavaScript framework for building and managing multi-agent AI systems using a Kanban-inspired approach.
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.
