Sauna
Multiplayer AI agent platform that runs always-on across your team's apps and shared workflows.
Pick Sauna if you want a shared AI agent that runs across your team's full SaaS stack and can be reached from Slack, iMessage, or email.
Skip it if you need a transparent, self-hosted agent runtime, a documented API, or deterministic single-user workflows.
Sauna is an AI agent platform that connects to your team's tooling and runs autonomously in the cloud, taking actions across apps rather than just answering questions. It integrates with 3,000+ services including Linear, GitHub, Notion, Gmail, Jira, and HubSpot, and is reachable through web, iOS, iMessage, Slack, and email so users can hand off work from wherever they already are.
The pitch that sets it apart is 'multiplayer' AI: a single Sauna instance is shared by a team, with shared context and memory, and teammates can query each other's agents to pull information without interrupting the human owner. That makes it more interesting for ops, project coordination, and cross-functional execution than for solo prosumer use. Pricing isn't shown on the homepage but a free signup tier is available, and unsupported tools can be added via custom MCP connectors. SOC 2 compliance is claimed, with no training on customer data.
Sauna is one of the more credible attempts at team-level agents rather than yet another single-player chatbot, and the multiplayer memory plus 3,000-app reach is genuinely differentiated. The opaque pricing and unstated model stack keep it from being an unqualified recommendation; treat it as a serious pilot candidate, not a default purchase.
— The AI Tool Bible editorial team
Pros
- ✅ Shared team instance with multiplayer memory and peer-query between colleagues
- ✅ Always-on cloud execution, not a chat session you have to babysit
- ✅ Reaches into 3,000+ apps and accepts custom MCP connectors
- ✅ Multi-surface entry: web, iOS, iMessage, Slack, email
Cons
- ⚠️ Pricing is opaque on the marketing site
- ⚠️ No public API documentation surfaced from the landing page
- ⚠️ Underlying model and reliability characteristics aren't disclosed
- ⚠️ Closed-source, so deep behavioural audits aren't possible
Use cases
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