Agibot vs Subquadratic
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Agibot compared with Subquadratic
| Detail | 
Agibot | 
Subquadratic |
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| What it does | An always-on personal AI agent for your Mac that keeps working after you close the window, asks before it acts, and learns from your corrections.
| Efficiency is Intelligence
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| Stage | MVP
| Startup
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| Founded | Not given
| Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Paid
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| Pricing | Not given
| Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
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| Key features | - Always on: keeps working after you close the window
- Persistent memory
- Browses the web
- Focused automation with scheduled routines
- Lives everywhere: menu bar, Telegram and Slack
- Asks before it acts
- Learns from your corrections
- Multiple AI model support
- Local data storage
- Runs in macOS sandbox
| - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
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| What makes it different | - Keeps working after you close the window with background running in menu bar
- Asks before it acts with user approval built into all actions
- Local data storage on your Mac with encrypted API keys
- Flexible AI model integration with multiple providers supported
| - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ● no change since last check | 52 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 17 |
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| Citation Flow (Majestic) | 16 | 37 |
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| Referring domains (Majestic) | 30 | 654 |
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4 details filled in for both companies.
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