Repository History
9 repositories tagged with Workflow Automation
KDA: Kernel Design Agents for High-Performance CUDA Kernel Development
Kernel Design Agents (KDA) offers an agent-centric workflow designed to streamline the research, implementation, verification, and iteration of performance-sensitive CUDA kernel tasks. This innovative approach leverages coding agents to accelerate the development of high-performance kernels. It is an early research prototype from NVlabs, welcoming community feedback and contributions.
oh-my-hermes: Enhance Hermes Agent with Advanced AI Workflow and Memory
oh-my-hermes is an all-in-one plugin designed to significantly enhance the Hermes Agent. It provides advanced coding intelligence, a robust long-term memory system, and optimized workflow packages, transforming standard Hermes requests into structured, actionable tasks with clear operational layers.
Craft Agents: An Agent-Native Desktop App for LLM Interaction
Craft Agents is an open-source desktop application designed for effective interaction with large language model (LLM) agents. It enables intuitive multitasking, seamless connection to any API or service, and a document-centric workflow within a fluid user interface. Built with agent-native software principles, it offers high customizability and supports multiple LLM providers.
LoopX: Long-Horizon Agent Control Plane for Governed AI Workflows
LoopX is an open, provider-neutral, and stateful control plane designed for long-horizon AI agents. It enables durable, governed work across various agent harnesses, including Codex App and Claude Code. LoopX provides essential capabilities for managing complex, long-running tasks, ensuring objectives, gates, and handoffs remain stable and reviewable.
Dagster: An Orchestration Platform for Data Assets
Dagster is a powerful open-source orchestration platform designed for the development, production, and observation of data assets. It provides a unified programming model for building and managing data pipelines, making it easier to define, test, and deploy complex data workflows. This platform supports various data engineering, analytics, and machine learning operations.
fast-agent: Build and Orchestrate Multimodal AI Agents and Workflows
fast-agent is a powerful Python framework designed for creating and interacting with sophisticated multimodal AI agents and workflows. It offers a simple, declarative syntax for defining agents, comprehensive model support, and unique features like end-to-end tested MCP (Multi-modal Communication Protocol) integration. Developers can rapidly build, test, and deploy complex agent applications with advanced capabilities such as structured outputs, vision, and various orchestration patterns.
cursor-memory-bank: Structured AI Development Workflow with Cursor 2.0 Commands
cursor-memory-bank is a modular, documentation-driven framework designed to enhance AI-assisted development within the Cursor editor. It leverages Cursor 2.0 commands to provide persistent memory and guide AI through a structured development workflow. This system uses visual process maps and token optimization to streamline tasks from initialization to archiving.
Qwen Code: An AI-Powered Command-Line Workflow Tool for Developers
Qwen Code is an advanced command-line AI workflow tool designed to enhance developer productivity. Adapted from Gemini CLI and optimized for Qwen3-Coder models, it offers intelligent assistance for coding, understanding large codebases, and automating development tasks. This tool provides powerful features to streamline your daily coding activities, including free usage options.
n8n-nodes-mcp: Seamless AI Integration with Model Context Protocol
The n8n-nodes-mcp is a custom n8n node designed to facilitate interaction with Model Context Protocol (MCP) servers. It empowers n8n workflows to connect with AI models, access resources, execute tools, and utilize prompts in a standardized manner, significantly enhancing AI agent capabilities.