3 个仓库
Execution environments that leverage remote virtual machines for scalability.
Distinguishing note: Focuses on remote VM-based execution for resource management.
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This framework provides a development toolkit for building autonomous agents that utilize language models to solve complex, non-deterministic tasks. Its core design centers on a code-executing architecture where agents generate and run Python code snippets to perform logic, data manipulation, and tool interactions. By moving beyond structured data formats, the system enables agents to manage program flow and object state through iterative reasoning cycles. The project distinguishes itself through its focus on code-based agent implementation and secure execution environments. Developers can ch
Executes code within isolated virtual machines that scale based on activity.
Yao is an LLM agent framework and low-code web app builder designed for orchestrating autonomous AI agents. It provides a platform to design, deploy, and coordinate agents with specialized personas that can plan tasks, utilize external tools, and execute multi-stage pipelines. The project distinguishes itself through a Model Context Protocol server for connecting assistants to external binaries and HTTP services, and a gRPC remote execution engine that allows agents to manage remote servers and devices. It includes a model-agnostic provider bridge that supports dynamic switching between vario
Bridges the local engine to a variety of remote machines, containers, or virtual machines.
pad.ws 是一个基于 Web 的开发环境,集成了代码编辑器、终端和一个用于草图绘制的共享可视化画布。它作为一个远程开发环境和协作式可视化编程空间,团队可以在同一个界面中规划架构概念并编写代码。 该项目通过将数字白板与云开发环境相结合,弥合了设计与执行之间的鸿沟。这允许用户通过将交互式画布上的草图直接链接到实现代码,来进行可视化软件规划和技术构思。 该平台提供了云 IDE 开发和远程环境管理功能。这包括一个可通过浏览器访问的工作区,该工作区连接到云虚拟机以远程执行命令和管理文件。
Connects the browser interface to cloud virtual machines for code execution and file management.