Monolithos vs Inteldo
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 Inteldo
| Detail | M
Monolithos | 
Inteldo |
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| What it does | Personal Agent OS built from memory you own
| Eight specialized AI agents research your question in parallel and deliver one clear answer you can act on
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
| SI
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| 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
| - Eight parallel specialist agents analyzing different business data domains
- Stripe and Google Ads revenue tracking with MRR and CAC analytics
- Google Analytics 4 and Search Console traffic analysis
- PostHog product analytics and funnel monitoring
- Competitor website analysis and pricing extraction at scale
- Real-time chat workspace with cited sources for all findings
- OAuth secure, read-only data connections
- Signal boards for ongoing metric monitoring
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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
| - Eight specialized agents work in parallel instead of a single chatbot
- Every claim cited to live sources, not generated from training data
- Bootstrapped with roadmap driven by customer needs, not investor targets
- Data analyzed and discarded, never trained on models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ● no change since last check | 35 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 9 | 19 |
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| Citation Flow (Majestic) | 21 | 32 |
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| Referring domains (Majestic) | 22 | 25 |
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4 details filled in for both companies.
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