langgenius/dify
Dify is an open-source platform for developing and deploying AI applications using large language models, featuring workflow building, model management, agent capabilities, and observability tools.
Awesome AI Agents › AI Application Development
Surfkit is a comprehensive toolkit designed for building, sharing, and managing AI agents that operate on various devices. It enables users to create multimodal AI agents capable of performing tasks on devices either locally or in the cloud. The toolkit supports the entire lifecycle of AI agents, including building, running, sharing, and tracking their actions and tasks at scale. Users can easily create agents and devices, manage them, and solve tasks using a simple command-line interface or Python API. Surfkit integrates with other AI-related libraries such as MLLM for prompt management, Taskara for task management, Skillpacks for fine-tuning AI agents, and Threadmem for thread management, enhancing its capabilities for AI agent development. The toolkit supports deployment on different environments including Docker and Kubernetes, making it versatile for various use cases. It also provides features for publishing agents to a community hub, facilitating collaboration and sharing among users. The project includes detailed documentation and a demo to help users get started quickly. Surfkit is targeted at developers and researchers interested in creating intelligent agents that can interact with devices autonomously, providing tools to build, run, and monitor these agents efficiently. The project emphasizes ease of use, scalability, and community engagement, making it a valuable resource for advancing AI agent technology.
https://github.com/agentsea/surfkit
Dify is an open-source platform for developing and deploying AI applications using large language models, featuring workflow building, model management, agent capabilities, and observability tools.
Daytona is a secure and elastic infrastructure platform designed for safely running AI-generated code with high performance and scalability.
A curated and comprehensive list of AI autonomous agents categorized into open-source and closed-source projects, serving as a valuable resource for exploring, building, and contributing to AI agent development.
MLflow is an open-source platform that manages the full machine learning lifecycle, providing tools for experiment tracking, model packaging, deployment, evaluation, and observability in one integrated solution.
PydanticAI is a Python agent framework that simplifies building production-grade Generative AI applications by providing type-safe, structured, and model-agnostic integration with multiple LLMs, along with features like dependency injection and real-time debugging.
A comprehensive repository of sample code, notebooks, and resources for developing and managing generative AI workflows on Google Cloud using Gemini models on Vertex AI.
Rig is a Rust library for building scalable, modular, and ergonomic fullstack agents powered by large language models, supporting multiple LLM providers and vector stores for AI integration.
Manifest is an open-source components library built on shadcn/ui for creating customizable and production-ready UI components to develop ChatGPT and conversational AI applications efficiently.