RailCall vs Context Engine
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
| Detail | ||
|---|---|---|
| What it does | AI runs where you own it | One memory for your AI agents and your team |
| Stage | Not given | Not given |
| Founded | Not given | Not given |
| Based in | Not given | Not given |
| Pricing model | Freemium | Freemium |
| Pricing | RailCall local runtime: free. RailHub Team: $5 per seat per month. Cloud agents: $5 per trained agent per month. Advanced thinking (overflow): metered against a budget you set, with 500 flows per month included. Storage on hub: $0.25 per GB-month with 5 GB free. | Free: $0 forever with 1 agent per engine (up to 3 when friends refer), 1 GB memory. Pro: $12/month or $99/year per engine with 10 agents and 25 GB memory. Unlimited: $39/month or $299/year per engine with unlimited agents and 100 GB memory. Enterprise: from $6,000/year per install on your own server |
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| What makes it different |
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| Free plan | Not given | Not given |
| Open source | Not given | Not given |
| Platforms | Not given | Not given |
| Public API | Not given | Not given |
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 26 no change since last check | 15 +3 (up) since last check |
| Trust Flow (Majestic) | 3 | 13 |
| Citation Flow (Majestic) | 13 | 28 |
| Referring domains (Majestic) | 35 | 32 |
5 details filled in for both companies.
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