Recalld vs Vivgrid
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 Vivgrid
| Detail | R
Recalld | 
Vivgrid |
|---|
| What it does | The memory layer for AI Agents
| The Managed Skills Platform for AI Agents
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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
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
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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
| - Managed Skills with instant deployment to all agents
- Agent observability and debugging across all decisions
- Globally distributed inference with low latency
- Safety guardrails and agent evaluation
- Multi-agent orchestration with stateful memory
- Centralized security and access control
- Support for multiple frontier LLM models
- Real-time cost and performance insights
- Agent Insights dashboard
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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
| - Ship agent improvements in minutes instead of release cycles
- Centralized skill management without requiring redeploy
- Complete visibility into agent decisions for fast debugging
- Proven safe releases with guardrails before production
- No infrastructure expertise required to deploy agents at scale
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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) | 1 ▲ +1 (up) since last check | 39 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 25 |
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| Citation Flow (Majestic) | 15 | 38 |
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| Referring domains (Majestic) | 10 | 2622 |
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4 details filled in for both companies.
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