Recalld vs Fulcra
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 Fulcra
| Detail | Recalld | Fulcra |
| What it does | The memory layer for AI Agents
| The user-owned context backend for AI agents
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| Stage | Growing
| Growing
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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
| 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
| - One user-owned context for every agent
- Agents wake up to what changed since their last loop
- Readable, traceable context with every change logged
- End-to-end encryption with AES-256
- Granular sharing controls with revocable access
- Right to export, delete, and transparency
- Context that travels across AI products and models
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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
| - User-owned context that travels with you across AI products
- Traceable agent activity with full visibility and control
- Agents coordinate through shared context without learning being trapped in silos
- End-to-end encryption with no data selling
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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) | Not checked yet ● no change since last check | 26 ● no change since last check |
| Trust Flow (Majestic) | 0 | 20 |
| Citation Flow (Majestic) | 15 | 40 |
| Referring domains (Majestic) | 10 | 593 |
5 details filled in for both companies.
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