CellaFlow vs Recalld
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
CellaFlow compared with Recalld
| Detail | CellaFlow | Recalld |
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| What it does | The coordination and durability layer for AI agents
| The memory layer for AI Agents
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| Stage | Not given
| Growing
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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 | Not given
| freemium
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| Pricing | Not given
| Not given
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| Key features | - Durable Replay Recovery
- RocksDB Local Journaling
- Fenced Leases
- Append-only Execution Ledger
- Zero-Dependency Systems Runtime
- Hierarchical Sessions & State Reducers
| - 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
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| What makes it different | - Prevents duplicate side effects across concurrent agents and retries with fenced idempotency leases
- Enables deterministic replay recovery without redundant token spend
- Low latency with 0.31ms marginal engine overhead
| - 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
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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) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 14 | 15 |
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| Referring domains (Majestic) | 22 | 10 |
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3 details filled in for both companies.
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