Tags: #ai-framework

An open-source Python framework for building real-time, voice-first, and multimodal conversational AI agents with ultra-low latency.

An open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and agent workflows.

A Python framework for rapidly building and deploying production-ready conversational AI applications.

A dynamic, transparent, and customizable AI agent framework that learns and grows with the user, utilizing the operating system as a tool to accomplish tasks.

An open-source multi-agent framework dedicated to researching the scaling laws of AI agents and facilitating large-scale agent system development.

An open-source framework for building, deploying, and managing autonomous multi-agent AI applications with a modern, extensible platform.

A unified and efficient framework for fine-tuning over 100 large language models (LLMs) and vision-language models (VLMs) with both CLI and Web UI.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, built around an embeddings database.

Mobile-Agent is a powerful AI agent family designed for multi-platform GUI automation, leveraging advanced large language models.

A programming framework for creating multi-agent AI applications that can act autonomously or work alongside humans.

An open-source framework for building real-time multimodal conversational AI agents.

A Go language framework for building applications with Large Language Models (LLMs) through composability.

An open-source framework for building, evaluating, and self-evolving AI agents and workflows based on Large Language Models (LLMs).

Colossal-AI makes training and deploying large AI models cheaper, faster, and more accessible through advanced distributed training techniques.

An open-source framework that organizes AI prompts by real-world tasks to solve AI integration challenges and augment human capabilities.

BAML is an AI framework that transforms prompt engineering into schema engineering, enabling developers to build reliable, type-safe AI workflows and agents across multiple programming languages.

A config-based framework for building, managing, and iterating on generative AI applications by separating AI behavior from application code.

A production-ready framework for Java developers to build, orchestrate, and manage agentic, workflow, and multi-agent AI applications.