Showing 7 open source projects for "open access"

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  • 1
    mpai

    mpai

    Make Codex and Claude Code sessions multiplayer from the terminal

    ...Teammates can follow live transcripts, switch sessions, show presence, and submit prompts with their identity attached. Viewer and participant roles, revocation, shared access rules, and an append-only audit trail help preserve owner control. The public alpha currently targets macOS and existing Tailscale networks, with no public relay or arbitrary remote shell access.
    Downloads: 17 This Week
    Last Update:
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  • 2
    chrome-cdp

    chrome-cdp

    Give your AI agent access to your live Chrome session

    chrome-cdp-skill is a specialized integration that enables AI agents to control and interact with web browsers through the Chrome DevTools Protocol (CDP). It allows agents to perform tasks such as navigating pages, extracting data, interacting with elements, and executing scripts in a browser environment. The project is designed to extend the capabilities of AI systems beyond static knowledge by giving them real-time access to web content and interactive interfaces. Its architecture likely...
    Downloads: 4 This Week
    Last Update:
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  • 3
    Codex plugin for Claude Code

    Codex plugin for Claude Code

    Use Codex from Claude Code to review code or delegate tasks

    Codex plugin for Claude Code is an integration layer that connects OpenAI Codex-style capabilities with agent-based coding environments, enabling seamless execution of coding tasks through structured plugins. The project is designed to extend the functionality of coding agents by allowing them to delegate tasks to Codex or similar models in a controlled and modular way. It likely provides abstractions for handling code generation, editing, and analysis while maintaining consistency across...
    Downloads: 15 This Week
    Last Update:
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  • 4
    49 Agents IDE

    49 Agents IDE

    Open-source 2D IDE for managing AI agents in native CLIs

    49Agents is an open-source “agentic IDE” that reimagines how developers interact with multiple AI agents, terminals, and development environments by placing everything onto a single infinite, zoomable canvas. Instead of relying on traditional tab-based workflows, it provides a spatial interface where terminals, editors, Git views, and monitoring tools coexist as movable panes, enabling users to manage complex multi-agent systems visually and intuitively. The platform is designed to work...
    Downloads: 5 This Week
    Last Update:
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  • 5
    Coinbase Agentic Wallet Skills

    Coinbase Agentic Wallet Skills

    npx skills add coinbase/agentic-wallet-skills

    Coinbase Agentic Wallet Skills project is a modular skill library developed by Coinbase as part of its Agentic Wallet ecosystem, designed to give AI agents direct access to on-chain financial operations through a standardized and reusable interface. It provides a set of pre-built “skills” that abstract complex blockchain interactions into simple, callable capabilities, allowing agents to authenticate, manage funds, and execute transactions without requiring developers to implement low-level...
    Downloads: 0 This Week
    Last Update:
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  • 6
    NemoClaw

    NemoClaw

    NVIDIA plugin for secure installation of OpenClaw

    NVIDIA NemoClaw is an open-source tool designed to simplify the deployment and management of always-on AI assistants using the OpenClaw ecosystem. It installs and configures the NVIDIA OpenShell runtime, which provides a secure environment for running autonomous AI agents. NemoClaw enables users to launch sandboxed agent environments that control network access, file permissions, and inference requests through policy-based security.
    Downloads: 0 This Week
    Last Update:
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  • 7
    SuperAGI

    SuperAGI

    A dev-first open source autonomous AI agent framework

    An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops.
    Downloads: 3 This Week
    Last Update:
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