Showing 6 open source projects for "parallel language"

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    oh-my-claudecode

    oh-my-claudecode

    Teams-first Multi-agent orchestration for Claude Code

    ...The project abstracts away the complexity of interacting with multiple AI agents by introducing a “team-based” execution model, where tasks are automatically decomposed into planning, execution, verification, and iteration stages. It emphasizes natural language interaction, allowing developers to describe goals instead of memorizing commands or manually orchestrating workflows. The system integrates multiple AI providers and tools, enabling parallel execution and cross-validation of tasks across different models. It also incorporates persistent execution mechanisms, ensuring that tasks continue until completion without requiring constant user intervention.
    Downloads: 1 This Week
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  • 2
    ChainForge

    ChainForge

    An open-source visual programming environment

    ChainForge is an open-source visual programming environment designed to help developers systematically test, compare, and evaluate prompts and outputs across multiple large language models in a structured and scalable way. Instead of relying on isolated prompt experimentation, it introduces a dataflow-based interface that allows users to create complex prompt pipelines and evaluate them across different models, parameters, and datasets simultaneously. The platform enables rapid experimentation by generating permutations of prompts and inputs, making it possible to test hundreds of variations in parallel and analyze performance trends more effectively. ...
    Downloads: 0 This Week
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  • 3
    Superset LLM

    Superset LLM

    Run an army of Claude Code, Codex, etc. on your machine

    Superset is a development environment and terminal-based platform designed to orchestrate multiple AI coding agents simultaneously within a single workspace. The tool enables developers to run many autonomous coding agents in parallel without the typical overhead of manually managing multiple terminals, repositories, or branches. Each agent task is isolated in its own Git worktree, ensuring that code changes from different agents do not interfere with each other while allowing developers to...
    Downloads: 3 This Week
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  • 4
    wllama

    wllama

    WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

    wllama is a WebAssembly-based library that enables large language model inference directly inside a web browser. Built as a binding for the llama.cpp inference engine, the project allows developers to run LLM models locally without requiring a server backend or dedicated GPU hardware. The library leverages WebAssembly SIMD capabilities to achieve efficient execution within modern browsers while maintaining compatibility across platforms. By running models locally on the user’s device, wllama...
    Downloads: 1 This Week
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  • 5
    Kilo Code

    Kilo Code

    Gives you a whole dev team of AI agents in your code editor

    Kilo Code is a leading open-source coding agent designed to help developers build, ship, and debug software faster with AI-driven workflows. It offers specialized modes such as Ask, Architect, Code, Debug, and Orchestrator to support every stage of development. With features like automatic failure recovery, hallucination-free code, and deep context awareness, Kilo ensures reliable and accurate outputs. Developers can install Kilo across terminals, VS Code, and JetBrains editors for seamless...
    Downloads: 39 This Week
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  • 6
    WorkAny

    WorkAny

    Desktop Agent for Any Task

    WorkAny is an open-source desktop AI agent application that executes generic tasks through natural language commands, effectively bringing intelligent automation into everyday workflows without needing to write code manually. It acts as a unified environment where users can ask the AI to generate documents, presentations, websites, spreadsheets, organize files, or write code — all with real-time streaming outputs directly in the app, so you see results as the AI produces them. ...
    Downloads: 0 This Week
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