Recurse vs WAMF
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Recurse compared with WAMF
| Detail | 
Recurse | 
WAMF |
|---|
| What it does | Build and deploy Agent MCP Apps
| AI-powered wildlife monitoring platform built on Frigate
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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
| Not given
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| Pricing model | Paid
| Open source
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| Pricing | Not given
| Not given
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| Key features | - 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
| - AI Species Identification with confidence scoring
- Observation archive with structured media storage
- REST API for dashboards and custom applications
- Media retention and cleanup tools
- Rich species metadata and reference information
- Activity monitoring and detection overview
- Browse detections with thumbnails and timestamps
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| What makes it different | - 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
| - Designed specifically for wildlife, feeders, nest boxes and wildlife cameras instead of general security monitoring
- Extends existing Frigate installation without replacing it
- Self-hosted with full data ownership
- MIT licensed and community-driven
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▼ −21 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 20 | 0 |
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| Referring domains (Majestic) | 39 | 0 |
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4 details filled in for both companies.
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