Showing 4 open source projects for "multiplayer"

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  • 1
    Gradient Bang

    Gradient Bang

    Gradient Bang is an online multiplayer universe

    Gradient Bang is an experimental open-source project developed within the Pipecat ecosystem that reimagines AI interaction as a persistent, multiplayer simulation where users and large language models coexist inside a shared virtual environment. Rather than functioning as a traditional application or API, it is conceptualized as an “online multiplayer universe” in which participants can explore, trade, battle, and collaborate while interacting with AI agents as active entities within the system. ...
    Downloads: 8 This Week
    Last Update:
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  • 2
    QM

    QM

    Multiplayer agent harness for work

    QM is an open-source multiplayer agent harness designed for startup teams and company-wide AI work. Each person, channel, and project receives its own scoped memory, files, credentials, permissions, schedules, web apps, and durable sandbox. The same agent identity and configuration can operate through Slack or the web interface. Teams can choose among supported models and harnesses, including Pi, OpenCode, Codex, and Claude Code, without binding the deployment to one vendor.
    Downloads: 4 This Week
    Last Update:
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  • 3
    mpai

    mpai

    Make Codex and Claude Code sessions multiplayer from the terminal

    mpai is an open-source coordination layer that makes AI coding sessions collaborative directly from the terminal. It lets a named teammate enter an existing Codex or Claude Code conversation without switching tools or recreating its context. The host explicitly chooses which native sessions to share, while Tailscale provides the private device network. Teammates can follow live transcripts, switch sessions, show presence, and submit prompts with their identity attached. Viewer and...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Kanwas

    Kanwas

    Shared context board for teams and agents

    ...The platform supports real-time collaboration, visible agent tool calls, and a timeline that makes AI activity easier to follow and audit. It is designed for long-running projects where maintaining context matters as much as producing a single response. Overall, Kanwas positions itself as a multiplayer thinking space for AI-assisted research, planning, and execution.
    Downloads: 0 This Week
    Last Update:
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