| What it does | AI agent delivery platform for domain experts to build, deploy, and run agents that complete real work
| Lead armies of AI agents sanely
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Not given
| Freemium
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| Pricing | Pro plan: $30/month (limited offer, regular $100/month) with 6000 credits plus 14000 bonus credits, 4-core CPU, 4GB RAM, 40GB storage. Managed Agent API and Enterprise plans available.
| 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 | - Agent Builder for building agents through conversation
- 50+ industry agent templates
- Support for 20+ leading models including OpenAI, Claude, Gemini, DeepSeek
- Integration with Google Workspace, Microsoft 365, Slack, Lark, Jira, GitHub
- ZooData for converting URLs into agent-ready JSON
- Approval gates for sensitive operations
- Managed Agent API for production deployment
- Knowledge Management and data collection
- Triggers and scheduled tasks
- Complete auditability with recording of all decisions and tool calls
| - 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 | - Agents built and operated by domain experts, not just engineers
- Production-ready agents live in 7 days with forward-deployed engineers
- Agents operate on real systems with approval gates and complete auditability
- Security-first with tenant isolation, encryption, and role-based access control
- Multi-agent runtime with no vendor lock-in and support for all frontier models
| - 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) | 35 ▼ −1 (down) since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 40 | 30 |
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| Referring domains (Majestic) | 138 | 115 |
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ZooWork
Taurus