Monolithos vs Metaforms
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 Metaforms
| Detail | M
Monolithos | 
Metaforms |
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| What it does | Personal Agent OS built from memory you own
| AI infrastructure for research delivery teams
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Not given
| Pay for projects, not seats or tokens. Fixed price for projects and modules included in annual package.
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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
| - Survey programming with AI agents
- Works with Decipher, Dimensions, Qualtrics, and Confirmit
- Tracker version management and revision control
- Reviewable and approvable outputs
- 24/7 customer support with 30 minute response time
- Slack and Microsoft Teams integration
- SOC 2 Type II and ISO/IEC 27001 certified
- HIPAA and GDPR compliant
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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
| - Agents generate code while teams maintain full control through reviewable outputs
- Fixes bottlenecks methodically rather than requiring wholesale workflow changes
- Fixed project-based pricing with no seat or token fees
- Works within existing survey platforms without disrupting current workflows
- Data never trains or improves AI models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ● no change since last check | 36 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 9 | 8 |
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| Citation Flow (Majestic) | 21 | 32 |
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| Referring domains (Majestic) | 22 | 328 |
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4 details filled in for both companies.
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