Repository History
12 repositories tagged with Framework
LazyLLM: Low-Code Development for Multi-Agent LLM Applications
LazyLLM offers a low-code development tool designed for building multi-agent LLM applications with ease. It simplifies the creation of complex AI applications, providing a streamlined workflow for rapid prototyping, data feedback, and iterative optimization. Developers can leverage its extensive features for deployment, cross-platform compatibility, and efficient model fine-tuning.
Agentarium: A Python Framework for AI Agent Simulations
Agentarium is an open-source Python framework designed for creating and managing simulations with AI-powered agents. It offers an intuitive platform for designing complex, interactive environments where agents can act, learn, and evolve. This powerful tool simplifies the orchestration of multiple AI agents and their interactions.
EasyJailbreak: A Python Framework for Adversarial LLM Jailbreak Prompts
EasyJailbreak is an intuitive Python framework designed for generating adversarial jailbreak prompts for Large Language Models (LLMs). It provides a structured approach to decompose the jailbreaking process into iterative steps, offering components for mutation, attack, and evaluation. This tool is ideal for researchers and developers focused on LLM security and understanding model vulnerabilities.
Otto: Intelligent Automation and LLM Integration for Frappe Framework
Otto is an early-stage Frappe Framework application designed to bring intelligent automation and large language model (LLM) capabilities to the Frappe ecosystem. It serves as both a standalone app for task automation and a library for seamless LLM integration within custom Frappe applications. This project aims to empower Frappe users with advanced AI functionalities for various business processes.
Univer: Build AI-Native Spreadsheets with a Full-Stack Framework
Univer is an isomorphic, full-stack framework designed for creating and editing spreadsheets, documents, and presentations across web and server environments. It empowers developers to build AI-native applications, offering high performance, extensibility, and seamless integration into existing projects. With its robust feature set and plug-in architecture, Univer provides a powerful foundation for modern office suite functionalities.
Qwen-Agent: A Comprehensive Framework for LLM Applications and Agent Development
Qwen-Agent is a powerful framework designed for developing advanced Large Language Model (LLM) applications, built upon Qwen models. It offers robust capabilities including function calling, a code interpreter, RAG, and multi-context protocol (MCP) support. The framework enables developers to create sophisticated AI agents with planning, tool usage, and memory features, serving as the backend for applications like Qwen Chat.
Cheshire Cat AI Core: An AI Agent Microservice Framework
Cheshire Cat AI Core is an open-source framework designed for building custom AI agents as microservices. It offers an API-first approach, enabling easy integration of conversational layers into applications with WebSocket chat and a customizable REST API. Key features include built-in RAG with Qdrant, extensibility via plugins, function calling, and full Dockerization for straightforward deployment.
lagent: A Lightweight Framework for Building LLM-Based Agents
lagent is a lightweight, open-source framework developed by InternLM, designed for efficiently building large language model (LLM)-based agents. It provides a PyTorch-inspired design philosophy, making it intuitive for developers to create and manage multi-agent applications. This framework simplifies the process of agent communication, memory management, and tool integration.
VideoSDK AI Agents: Build Real-time Multimodal Conversational AI
VideoSDK AI Agents is an open-source Python framework designed for developing real-time, multimodal conversational AI agents. It enables seamless, natural voice and media interactions between users and intelligent agents within VideoSDK rooms. This powerful framework supports integration with various AI models and tools, facilitating advanced conversational experiences.
Dioxus: Fullstack App Framework for Web, Desktop, and Mobile
Dioxus is a powerful fullstack application framework built in Rust, enabling developers to create performant applications for web, desktop, and mobile from a single codebase. It offers zero-config setup, integrated hot-reloading, and signals-based state management, making cross-platform development efficient and enjoyable. With Dioxus, you can build truly cross-platform experiences with ease and efficiency.
Stac: Server-Driven UI Framework for Flutter Apps
Stac is a powerful Server-Driven UI (SDUI) framework designed for Flutter, enabling developers to build dynamic, cross-platform applications. It allows for real-time UI updates and flexible application development using JSON, simplifying the creation and modification of user interfaces.
ice.js: A Progressive React-Based Application Framework by Alibaba
ice.js is a universal framework built on React.js, designed for building progressive applications. It offers a zero-config setup, supports various development practices, and provides hybrid rendering capabilities for both SSG and SSR. The framework also boasts a robust plugin system and multi-end support for web, miniapp, and Weex.