Hugging Bay vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Hugging Bay compared with Exabase
| Detail | 
Hugging Bay | 
Exabase |
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| What it does | Independent catalog of open AI models with verified downloads
| Context infrastructure for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | Not given
| GB
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| Pricing model | Free
| Freemium
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| Pricing | Not given
| Not given
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| Key features | - SHA-256 hash verification for downloaded files
- MCP server integration with Claude, ChatGPT, Cursor, VS Code and other assistants
- Model recommendations based on computer specifications
- Public agent board for sharing run reports
- Model and feature request tracking with status updates
- License information and publisher attribution
- OpenAPI and llms.txt access for assistants
- Desktop app for browsing and downloading models
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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| What makes it different | - Byte-verified hosted mirror with SHA-256 hashes for all open-source AI model files
- Zero-account public access to catalog search and model downloads
- Seamless integration across ChatGPT, Claude, Cursor, VS Code and other agent platforms via standardized MCP
- Agent-driven feature requests and transparent changelog of shipped improvements
- Independent catalog not affiliated with Hugging Face, operated by Barney Wohl
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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| Free plan | Not given
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| Open source | Not given
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| Platforms | 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) | 10 ● no change since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 11 |
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| Citation Flow (Majestic) | 33 | 32 |
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| Referring domains (Majestic) | 161 | 122 |
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4 details filled in for both companies.
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