Recalld vs Apollo-1
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 Apollo-1
| Detail | R
Recalld |
Apollo-1 |
| What it does | The memory layer for AI Agents
| Neuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime
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| Stage | Growing
| Established
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| Founded | Not given
| 2017
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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
| 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 integrated runtime combining neural and symbolic systems
- Deterministic policy enforcement before action
- Complete execution trace for every turn
- Natural language program authoring with code generation
- Consistent decisions from identical inputs
- CPU-based logic execution with lightweight language models
- Managed service and custom enterprise deployment options
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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
| - Symbolic logic governs decisions instead of neural weights
- Lower operational costs through CPU-based logic and lightweight models
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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 | 20 ● no change since last check |
| Trust Flow (Majestic) | 0 | 11 |
| Citation Flow (Majestic) | 15 | 33 |
| Referring domains (Majestic) | 10 | 155 |
5 details filled in for both companies.
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