| What it does | AI agent workspace that turns ideas into finished, editable work
| Lead armies of AI agents sanely
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| Stage | Not given
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| Founded | Not given
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| Based in | SG
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan with 50 one-time welcome credits and 1 GB cloud storage. Otter Solo: $16/month (billed yearly, regularly $19/month) with 2,000 credits/month and 5 GB cloud storage. Otter Squad: $39/month (billed yearly, regularly $49/month) with 5,500 credits/month and 50 GB cloud storage. Otter Colony: $
| Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
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| Key features | - Retains context across projects and files
- Acts across tools and connected services
- Adapts to user preferences and patterns
- Works across web, desktop, and mobile
- AI PPT generation with GPT Image 2
- Editable results after generation
- Multiple AI model support
- Data privacy and security controls
- Cloud computer resources
| - Hierarchical agent trees with parent-child delegation and coordination
- Container-isolated agent environments with Linux shell and persistent filesystem
- Persistent agent memory and context between runs
- Cron-based scheduled execution with overlap handling
- Shared /shared folder for cross-agent file collaboration
- Support for 30+ AI models from multiple providers
- Web IDE with terminal access and five editor themes
- Static site dashboards built and maintained by agents
- Voice input and file attachment support
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| What makes it different | - Works for you instead of just chatting—retains memory, orchestrates agents, and carries tasks across steps
- Keeps project context organized in one workspace rather than scattered across chats
- Delivers editable, finished results instead of just raw outputs
- Learns from your work and adapts to your preferences over time
- Built for resilience with error recovery and approval controls
| - Agentic tree structure where agents collaborate and share context unlike stateless tools
- Fully isolated Linux containers for each agent with persistent filesystems
- Persistent memory and context continuity across scheduled runs
- Mix and match 30+ AI models freely within the same team
- Pricing per fleet rather than per seat or per token overage
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ▼ −1 (down) since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 40 | 30 |
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| Referring domains (Majestic) | 239 | 115 |
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Ottermind
Taurus