Search Results for "simple queue system"
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Showing 12 open source projects for "simple queue system"
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OpenRig
Multi-agent harness that runs Claude Code and Codex together
OpenRig is an open-source multi-agent harness that runs Claude Code and Codex together as one coordinated development system. Each agent occupies a persistent seat with its own identity, work queue, lessons, and terminal session. Work can be assigned between agents instead of forcing every task through one model. The system runs on the user’s own infrastructure and keeps its orchestration visible through tmux. A command-line interface manages setup, health checks, queues, and workstation configuration. ... -
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omp (Oh My Pi)
AI Coding agent for the terminal
...The project provides a command-line coding agent capable of analyzing repositories, generating commits, editing code, and interacting with development tools through an integrated tool system. Instead of functioning as a simple prompt-based assistant, the system includes an agent architecture that can inspect Git repositories, analyze changes, and perform development actions with fine-grained control. The platform also supports tool-based workflows where the agent can run shell commands, read files, modify code, and stage changes during development tasks. ... -
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VT Code
VT Code - semantic AI coding agent
VTCode is a terminal-based AI coding agent designed to provide semantic code understanding and interactive assistance directly within a command-line environment. It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. VTCode operates as an agent rather than a simple autocomplete tool, meaning it can interpret user intent, navigate codebases, and assist with multi-step tasks. ... -
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Kimchi
Terminal coding agent powered by Kimchi's multi-model orchestration
Kimchi is a terminal coding agent powered by multi-model orchestration. It is designed to help developers run AI-assisted coding sessions from the command line while coordinating specialized agents, tools, permissions, and project context. The repository includes systems for subagents, task classification, model delegation, MCP integration, web search, web fetching, Language Server Protocol support, authentication, and interactive terminal workflows. It also supports ACP-style JSON-RPC... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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iFlow CLI
iFlow cli is a comprehensive command-line intelligence
...The system is capable of automating repetitive processes, accelerating development cycles, and reducing manual effort in code analysis and execution. It also integrates with CI/CD pipelines through GitHub Actions, extending its functionality into automated workflows. -
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CUDA Agent
Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
CUDA Agent is a research-driven agentic reinforcement learning system designed to automatically generate and optimize high-performance CUDA kernels for GPU workloads. The project addresses the long-standing challenge that efficient CUDA programming typically requires deep hardware expertise by training an autonomous coding agent capable of iterative improvement through execution feedback. Its architecture combines large-scale data synthesis, a skill-augmented CUDA development environment, and long-horizon reinforcement learning to build intrinsic optimization capability rather than relying on simple post-hoc tuning. ... -
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MiniMax Skills
Development skills for AI coding agents
...These skills can be integrated into AI tools to improve the quality and consistency of generated code, particularly in areas such as frontend development, backend systems, mobile applications, and multimedia processing. The system supports a wide range of technologies and workflows, allowing developers to leverage AI assistance for both simple tasks and large-scale projects. It is designed to be extensible, enabling contributors to add new skills or enhance existing ones as development practices evolve. -
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Ditto
The simplest self-building coding agent
Ditto is a simple self-building coding agent that generates multi-file Flask applications from natural language descriptions. Users describe the app they want, and the system attempts to plan and create routes, templates, static assets, and supporting files. It uses an LLM loop with basic tools to automate part of the coding process. The project is intentionally lightweight and experimental, making it easier to understand than larger agentic coding platforms. -
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SuperDesign
AI Product Design Agent
...With a single prompt, SuperDesign can produce full UI mockups, reusable components, and wireframes, dramatically speeding up the early stages of product creation and iteration. Beyond simple visual generation, it lets users fork and refine designs, supporting a dynamic workflow where ideas evolve quickly within the context of your project. This tool is designed to support modularity and consistency, helping teams maintain a coherent design system without manually crafting every element. Because it is open source, anyone can inspect, extend, and customize the agent to fit specific workflows. -
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BMad Method
Breakthrough Method for Agile Ai Driven Development
...The framework also emphasizes repeatability and consistency by storing workflows, templates, and roles as reusable artifacts. Its integration with modern AI coding tools allows it to function as a full development operating system rather than a simple plugin. -
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nanocode
Minimal Claude Code alternative. Single Python file, zero dependencies
...It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows. It includes a set of integrated tools such as read, write, edit, glob, grep, and bash that let the agent interact with the file system and shell commands directly from the terminal, and it keeps a conversation history with colored terminal output for readability. The project exemplifies how lightweight architectures can still support practical agent workflows without complex infrastructure, making it suitable for developers exploring agent frameworks or building custom coding assistants. -
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aiWindowPlus
The quickest way to build with qwen-coder and others.
Currently calibrated for use with qwen3.8:27b This small package packs a huge punch and lets you create endlessly using a intuitive highlight and tooltip system. On highlight of a section or document produced you may send that section to an editor to further run or build, or run it right a way, you can save the document as what ever you want as well. aiWindowPlus is a everyday application built to be simple and effective. Open the aiWindowPlus.py with python, install what dependencies there are and begin creation.
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