Taurus vs Elpis
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Taurus compared with Elpis
| Detail | 
Taurus | 
Elpis |
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| What it does | Lead armies of AI agents sanely
| Portable context for terminal coding agents
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Open source
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| Pricing | 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
| Not given
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| Key features | - 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
| - 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 | - 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
| - 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) | 31 ● no change since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 30 | 12 |
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| Referring domains (Majestic) | 115 | 6 |
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4 details filled in for both companies.
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