CellaFlow vs Recurse
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 Recurse
| Detail | CellaFlow | Recurse |
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| What it does | The coordination and durability layer for AI agents
| Build and deploy Agent MCP Apps
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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
| usage-based
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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
| - Run agents with Python tools
- Deploy agents as MCP servers
- Validate structured inputs and outputs
- Inspect run results and artifacts
- Secrets management
- 24-hour result retention
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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
| - No subscription or idle charges for usage-based pricing
- Zero markup on model tokens
- Hosting included with deployment
- Available through MCP clients like Claude and Codex
- Full visibility into agent execution and results
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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 | 35 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 11 |
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| Citation Flow (Majestic) | 14 | 20 |
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| Referring domains (Majestic) | 22 | 39 |
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3 details filled in for both companies.
More alternatives to CellaFlow More alternatives to Recurse