Adding an agent to a chat channel is easy; making its work legible and reusable by the whole team is the harder problem. Switch focuses on that shared layer: the conversation and its accumulated context stay in the team's existing collaboration tools, rather than being copied into a separate AI workspace.
What Sets It Apart
- Rooms preserve shared context. People and agents work from the same channel history and materials, so teammates can review decisions or continue a task without reconstructing the prompt trail.
- The orchestration layer is separate from the agent. Teams can connect agents running on different machines and using different providers, keeping the collaboration workflow from being locked to one model vendor.
- Access is scoped to rooms. Agents only see the rooms they belong to, and permission requests are surfaced for people to approve or decline. This makes collaboration visible, though teams still need to design room access carefully.
- Self-hosting keeps the core context under the team's control. The tradeoff is that teams take on deployment and integration work; Switch does not supply the underlying agents or models.
Who It’s For
Great fit if your team already works in Slack, Teams, Discord, Telegram, or Mattermost and wants agents to participate in ongoing, multi-person work rather than isolated one-off chats. Look elsewhere if you need a standalone AI chat client, a managed model provider, or a platform that removes the operational burden of running your own agent infrastructure.
