It is an agent framework called ModelScope-Agent that connects models within the ModelScope platform to external environments, enabling customizable and scalable agent systems.
It is an agent framework called ModelScope-Agent that connects models within the ModelScope platform to external environments, enabling customizable and scalable agent systems. The framework allows a single agent to perform tasks such as role-playing, calling large language models (LLMs), using tools, planning, and memory management. It is designed to integrate LLMs with task-specific tools, where the LLM determines which tools to invoke to complete user tasks.
To use the framework, users initialize a RolePlay object with specific tasks. The Agent object consists of components like message/prompt generation, LLM calls, and tool invocation based on LLM results. The LLM module is central to the agent, ensuring high-quality interaction outcomes. The framework supports multiple model service providers, including Dashscope (for Qwen series models), Zhipu (for GLM series models), and OpenAI (for OpenAI API-compatible models). Users can also customize their LLMs by implementing specific functions like `_chat_stream` and `_chat_no_stream`.
The framework provides built-in multi-domain tools that can be configured for use within the agent. Users can also create custom tools by defining the tool’s name, description, and parameters, and implementing the `call()` function. An example of custom tool creation is provided in the `demo_register_new_tool` section.
The ModelScope-Agent framework is open-source and licensed under the Apache License (Version 2.0). It integrates with projects like FaceChain, an open-source tool for generating personalized portraits, simplifying the process through dialogue with the FaceChain Agent. Users can run the framework in environments like ModelScope Notebook, Colab, or local setups. For further assistance, users can contact the team via email or participate in the open-source community by reporting issues or sharing their work through pull requests.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is a simple general-purpose autonomous agent called MiniAGI, designed to operate using the OpenAI API, specifically compatible with GPT-3.5-Turbo and GPT-4.
It is a project called Oscar, aimed at improving open-source software development by creating automated agents to assist with the maintenance of open-source projects.
It is a composable open-source AI framework designed for building and deploying production-ready applications powered by large language models (LLMs) and multimodal AI.
It is a Python framework designed for building agentic AI workflows, which are processes that delegate at least some of their work to an LLM (Large Language Model) agent.
It is a framework for orchestrating role-playing, autonomous AI agents, enabling them to work together seamlessly to tackle complex tasks through collaborative intelligence.
It is a low-code multi-agent automation framework designed to simplify and enhance workflow efficiency by enabling the creation of multiple agents coupled with specific tasks.
It is an AI-powered software testing platform designed to automate API and UI testing with no human intervention, enabling developers to achieve enterprise-level QA efficiency.
It is an open-source framework called Internet of Agents (IoA) designed to enable diverse, distributed AI agents to collaborate and solve complex tasks through internet-like connectivity.
It is a platform that replaces queues, state management, and scheduling with durable functions, enabling developers to build reliable, AI-ready step functions faster without managing infrastructure.
It is a Chrome extension called Qodo Merge that integrates AI-powered chat and code review tools directly into GitHub to analyze pull requests, automate reviews, highlight changes, suggest improvements, and ensure code changes adhere to best practices.
It is a barebones library called **smolagents** designed to enable the creation and orchestration of agents that write Python code to call tools and manage other agents.
It is an AI-powered suite of tools designed to enhance software development workflows by integrating intelligent features across the entire software development lifecycle.
It is a minimalist AI agent framework developed by Hugging Face, designed to enable developers to create and deploy powerful AI agents with minimal effort and code.
It is an AI automation agency that develops custom AI-driven solutions for innovative companies to streamline operations, enhance productivity, and reduce costs.
It is an autonomous AI agent designed to resolve customer service cases more quickly and accurately by using an intelligent, conversational interface that mimics natural language and is grounded in trusted customer and business data.
It is a financial infrastructure platform designed to enable AI Agents to securely and efficiently manage and move money while ensuring compliance, human oversight, and seamless integration.
It is a platform designed to simplify the creation and management of AI agents without requiring coding knowledge, enabling users to automate repetitive tasks and focus on achieving results.
