ZooWork vs Elpis
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
ZooWork compared with Elpis
| Detail | 
ZooWork | 
Elpis |
|---|
| What it does | AI agent delivery platform for domain experts to build, deploy, and run agents that complete real work
| Portable context for terminal coding agents
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| Stage | Not given
| Not given
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| Founded | 2023
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Open source
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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.
| Not given
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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
| - Context Ledger for curating admitted instructions, files and memory
- Deterministic context admission before model processing
- Workflows with Mother agent team design and checking
- Love Spot drawing board with Matilda companion
- Desktop app with theme customization
- Support for GPT, Claude and Gemini models
- Terminal and desktop app sharing state
- Portable context for terminal coding agents
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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
| - Deterministic context admission ensures agents see processed context before model receives it
- Context Ledger provides transparent curation of agent inputs
- Mother agent orchestrates multi-agent workflows with checking and merged results
- Collaborative drawing interface with AI companion
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 35 ▼ −1 (down) since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 40 | 12 |
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| Referring domains (Majestic) | 138 | 6 |
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3 details filled in for both companies.
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