Recalld vs Velvt
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 Velvt
| Detail | R
Recalld | V
Velvt |
|---|
| What it does | The memory layer for AI Agents
| Assurance, research and network for autonomous AI agents
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| Stage | Growing
| Startup
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| Founded | Not given
| Not given
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| Based in | Not given
| Not given
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| Pricing model | Freemium
| Not given
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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
| - Test agent behavior against explicit authority boundaries
- Preserve separate evidence of actor choice, authorization, containment and effect
- Bounded adversarial behavioral testing
- Repair and retest workflows with lineage
- Public Observatory for longitudinal research
- Provider-neutral and framework-compatible
- Customer-controlled assurance runtime
- Agent-to-agent collaboration and cross-agent encounters
- Test financial authority and spending limits
- Open integration surface with developer tooling
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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
| - Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
- Tests specific agents against explicit authority boundaries rather than universal safety claims
- Preserves longitudinal behavioral history and repair lineage across retests
- Works with multiple agent frameworks and supports customer-controlled environments
- Enables evidence-backed behavioral testing without requiring production credentials
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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 |
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| DR (Domain Rating by Ahrefs) | 7 ▼ −1 (down) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 15 | 24 |
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| Referring domains (Majestic) | 10 | 37 |
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4 details filled in for both companies.
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