What problem it solves

Teams often have to move work into a separate AI tool, then repeatedly transfer context between that tool and the applications where collaboration happens. Switch addresses this by letting people and AI agents participate in the same conversations while keeping shared context with the work.

Key features

• Shared rooms for people and agents — Each supported chat channel becomes a room where people and AI teammates work from the same conversation, decisions and documents.

  Source: README

• Support for any agent, model and provider — Agents can join when they speak the required protocol, allowing different agents to be used without changing the surrounding chat workflow.

  Source: README

• Configurable teammate roles and tools — Each agent can receive a role, instructions and tools, while room membership determines which context it can access.

  Source: README

• Self-hosted context and access controls — The server can run on the organization’s own infrastructure, with controls for who can communicate with each agent and in which rooms.

  Source: README

Who it may suit

This may suit teams that already use Slack, Microsoft Teams, Discord, Telegram or Mattermost and want to introduce AI agents without replacing those applications. It may also suit organizations that need self-hosted deployment and control over agent and room access.

Topics to discuss

• Which team workflows benefit most from shared rooms containing both people and AI agents?

• How should agent permissions, room membership and shared context be designed for different organizations?

• What conventions should teams adopt for giving agents roles, instructions and access to tools?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/sandbox-quantum/switch#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.