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SandboxAQ Open Sources Switch for AI Agents in Team Chats

⏱️ 4 min read

SandboxAQ has announced Switch, an open-source tool that lets companies bring people and AI agents together in the collaboration tools they already use. It can be set up in minutes in standard enterprise environments at no cost.

How AI Agents and Humans Collaborate via Switch

According to SandboxAQ, Switch connects AI agents into shared workspaces such as Slack and Microsoft Teams, so agents and humans can collaborate in the same channel rather than working on separate tools. Teams can bring their own agents and connect them into a common workspace.

The documentation guides developers through getting Switch running, connecting an agent, and starting an agent workflow in their existing collaboration environment.

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    According to SandboxAQ, Switch supports different AI models and agents through MCP, APIs and adapters, allowing teams to use multiple providers without being tied to a single AI ecosystem.

    “Every team we talk to has capable agents trapped in separate tools, and a coordination tax eating the productivity those agents were supposed to deliver,” said Mohammed Aboul-Magd, General Manager, SandboxAQ. “Switch pulls agents into the channels where teams already work, where knowledge compounds instead of being relearned with every task. If you can message a colleague, you can put an agent to work.”

    Switch Capabilities include:

    • Open source: Quick Start and Team editions deploy in minutes, with an extensible architecture for enterprise deployment. No vendor lock-in.
    • Bring your own agents: Connect existing agents built with Claude Code, Google ADK, LangChain, OpenAI, and other leading frameworks
    • Work where teams already work: Bring agents into existing collaboration platforms including Slack, Microsoft Teams and Discord.
    • Keep context with the work: Rooms preserve context and history as people and agents join, leave, and hand off work.
    • One agent, many rooms: Use the same agent across projects and teams, with each room carrying its own context, participants, and rules.

    Switch is available on GitHub.


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