Showing 7 open source projects for "ai coding model"

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  • 1
    Mysti

    Mysti

    AI coding dream team of agents for VS Code

    Mysti is a VS Code extension that provides a unified interface for AI coding assistants and agent workflows, with a strong emphasis on multi-agent collaboration. Instead of replacing the tools developers already use, it integrates with popular CLI-based coding assistants and routes work through a single, consistent UI inside the editor. The experience is organized around “personas” that change how the assistant approaches a task, such as architecture, debugging, security review, performance tuning, or refactoring, which helps structure the AI’s behavior for different goals. ...
    Downloads: 0 This Week
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  • 2
    Manifest

    Manifest

    🦞 Take control of your OpenClaw costs

    Manifest is an open-source OpenClaw plugin designed to help users take control of their LLM costs through intelligent routing and real-time observability. Instead of sending every request to the same large model, Manifest intercepts each query and evaluates it using a 23-dimension scoring algorithm in under 2 milliseconds. It then routes the request to the most cost-effective and suitable model, potentially reducing costs by up to 90%. The platform includes a real-time dashboard that...
    Downloads: 4 This Week
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  • 3
    Claw3D

    Claw3D

    Claw3D is an open source 3D engine built on OpenClaw

    Claw3D is an experimental open-source platform that combines elements of 3D simulation, developer tooling, and AI orchestration by creating an interactive virtual workspace where AI agents can be visualized as active participants in a shared environment. It is designed as a 3D “virtual office” where users can observe, manage, and interact with multiple AI agents performing tasks such as coding, reviewing pull requests, and coordinating workflows in real time. ...
    Downloads: 6 This Week
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  • 4
    OpenClaw

    OpenClaw

    Your own personal AI assistant. Any OS. Any Platform.

    OpenClaw (formerly Clawdbot/Moltbot) is an open-source, self-hosted autonomous AI assistant designed to run on user-controlled hardware and bridge conversational natural language with real-world task execution, effectively acting as a proactive digital assistant rather than a reactive chatbot. It lets you send instructions through familiar messaging platforms like WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and more, and then interprets those instructions to carry out actions such...
    Downloads: 27 This Week
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  • 5
    NemoClaw

    NemoClaw

    NVIDIA plugin for secure installation of OpenClaw

    ...Through its command-line interface, developers can deploy, monitor, and manage AI assistants running inside isolated sandboxes. By combining sandbox orchestration, agent management, and AI model integration, NemoClaw provides a secure foundation for building and operating autonomous AI assistants.
    Downloads: 4 This Week
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  • 6
    OpenClaw Opik Observability Plugin

    OpenClaw Opik Observability Plugin

    Official plugin for OpenClaw that exports agent traces to Opik

    OpenClaw Opik Observability Plugin is an open-source plugin designed to add observability and monitoring capabilities to OpenClaw autonomous AI agents by exporting operational traces to the Opik observability platform. The project integrates directly with OpenClaw’s plugin architecture so that developers can capture detailed runtime information about how their agents behave while executing tasks. Each time an AI agent performs an action—such as calling a large language model, invoking a tool, accessing memory, or delegating to a sub-agent—the plugin records the full interaction and sends it to Opik for analysis and visualization. ...
    Downloads: 3 This Week
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  • 7
    Lossless Claw

    Lossless Claw

    LCM (Lossless Context Management) plugin for OpenClaw

    Lossless Claw is an advanced context management plugin for the OpenClaw agent ecosystem that redefines how conversational memory is handled in large language model systems. Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. The system stores every interaction in a persistent database and incrementally summarizes older content into...
    Downloads: 4 This Week
    Last Update:
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