Recalld vs Toqan
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 Toqan
| Detail | R
Recalld |
Toqan |
| What it does | The memory layer for AI Agents
| Your AI workspace
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| Stage | Growing
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| NL
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| Pricing model | Freemium
| Not given
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| Pricing | Not given
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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
| - Build apps and dashboards from prompts without coding
- Integrates with Slack, Google Drive, Gmail, Notion, and custom data via MCP and OAuth
- Maintains context and picks up where you left off
- Runs tasks on a schedule automatically
- Search and analyze data from PDFs, Google Drive, and Sheets in plain language
- Built on enterprise-grade infrastructure with GDPR compliance
- No onboarding or configuration required
- Send scheduled Slack alerts and digests
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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
| - No setup or configuration needed to start using
- Remembers context and continues work without recaps
- Learns tasks and runs them automatically on a schedule
- Built by Prosus, one of the world's largest technology groups
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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
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 1 ▲ +1 (up) since last check | 32 ● no change since last check |
| Trust Flow (Majestic) | 0 | 24 |
| Citation Flow (Majestic) | 15 | 32 |
| Referring domains (Majestic) | 10 | 145 |
3 details filled in for both companies.
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