memsprout vs Nooks
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
memsprout compared with Nooks
| Detail | 
memsprout | N
Nooks |
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| What it does | Shared AI-context layer for teams
| Interactive worlds for people and AI to build, learn and solve problems together
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| Stage | Startup
| Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Free
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| Pricing | Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
| Not given
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| Key features | - Connect any MCP client
- Space-based access control with owner, editor, and viewer roles
- Version history on every memory
- Per-memory attribution and provenance tracking
- Row-level security in Postgres
- Topic-based organization within Spaces
- Works with Cursor, Claude Code, Copilot, ChatGPT
- Priority support on Team and Enterprise plans
- Personal and Shared Spaces
| - Photo to brick set conversion with 3D preview and parts list
- Workbench for collaborative brick-by-brick editing
- MCP server integration with Claude Code, Codex, Cursor and more
- Build structure checking and validation
- OAuth sign-in with no token storage
- Offline build access with local browser storage
- Export digital manuals and wanted parts lists
- Interactive environments for AI training
- Consent-based human demonstration recording
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| What makes it different | - Tool-agnostic across mixed AI stacks instead of locked to one vendor
- Works across teams without copy-paste or re-explaining context
- Person-first design where everyone maintains their own knowledge slice
- Single-team pricing with no enterprise minimum
- Shared control through role-based permissions and governance
| - Checked outcomes - part connections and build validity are verified by software before delivery
- Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
- People and AI work on the same design simultaneously within the workbench
- Measurable AI learning with transfer testing across different worlds
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 27 | 13 |
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| Referring domains (Majestic) | 71 | 2 |
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4 details filled in for both companies.
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