Monolithos vs Elpis
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Monolithos compared with Elpis
| Detail | M
Monolithos | 
Elpis |
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| What it does | Personal Agent OS built from memory you own
| 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
| Not given
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| Pricing model | Freemium
| Open source
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| Pricing | Not given
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| Key features | - User-owned memory in Markdown and YAML
- Eight modules: Memory, Flow, Black Hole, Minutes, Codex, Prism, Audio, Facet
- Multi-step AI tasks with human approval checkpoints
- Meeting transcription sealed into memory
- Markdown-to-presentation generation with Prism
- Audio generation from notes
- Visual asset library with provenance tracking
- Private domain boundaries to exclude content from cloud AI
- Project mode to bind files and conversations into sealed context
- Compatible with existing Obsidian vaults without migration
| - 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 | - Memory and data remain on your device and under your ownership, never used for model training
- Files stay readable as plain Markdown and YAML with any text editor; no vendor lock-in possible
- Works with existing Obsidian vaults natively without import or conversion
- Private-domain content stays out of cloud AI context automatically
- AI recall includes sources so you can see what answers are based on
| - 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) | 3 ● no change since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 21 | 12 |
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| Referring domains (Majestic) | 22 | 6 |
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4 details filled in for both companies.
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