Recalld vs Knotr
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Recalld compared with Knotr
| Detail | R
Recalld | K
Knotr |
| What it does | The memory layer for AI Agents
| Your voice and skills in every AI tool you use
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| Stage | Growing
| Startup
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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
| Freemium
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| Pricing | Not given
| Free: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from Starter Pack, 100 Hosted Chat AI credits/month. Pro: $24/mo or $20/mo billed annually, 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, 1 Style Guide, 1,000 Hosted Chat AI credits/month. Max: $49/mo or $40/mo billed annual
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| Key features | - Long-term memory for AI agents
- Automatic fact extraction and reconciliation
- Curated recall retrieval
- Raw vector search capability
- Model Context Protocol integration
- Regional data residency
- End-to-end encryption
- Right to erasure
- Bring-your-own-key model support
- Recalld Chat assistant
| - Profiles to define voice, tone, and judgment
- Style Guides to enforce writing rules
- Knowledgebases to store trusted documents and notes
- Skills to package repeatable workflows
- Artifacts for versioned, shareable outputs
- Hosted Chat with custom runtime
- MCP integration with external tools
- Team workspaces with shared knowledge
- Skill Catalog for discovery and import
- Collections to group and present artifacts
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| What makes it different | - Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy
- Automatic fact updating and reconciliation without manual deduplication pipelines
- Verified on open benchmark maintained by independent company
- Native MCP server requiring no SDK or glue code
- GDPR-compliant by design with transparent data handling
| - Output sounds like you, not generic AI, because every tool reads the same profiles and style guides
- Stop re-uploading docs and rewriting instructions for each new tool
- Individual voice, shared standards on teams
- Built-in changelogs instead of Git for managing skills
- Works with any MCP-compatible AI client without vendor lock-in
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 7 ▼ −1 (down) since last check | 2 ● no change since last check |
| Trust Flow (Majestic) | 0 | 4 |
| Citation Flow (Majestic) | 15 | 25 |
| Referring domains (Majestic) | 10 | 27 |
5 details filled in for both companies.
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