| What it does | An AI agent with its own cloud and wallet
| AI that reads each person first, knows their normal, and remembers every pair
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Not given
| Paid
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| Pricing | Free: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
| 43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
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| Key features | - Real files, real commands, web access, and browser beside the chat
- Memory written to disk as plain text you can edit and delete
- Auto mode with safe judgment on your own model
- Delegate work to helper agents sharing a task list
- Chat apps: Telegram, Discord and Slack integration
- Support for MCP servers, plugins and IDE integration
- Cloud tasks that keep running after you close the app
- Services that stay online with scheduler, webhook and watcher
- Web apps with their own live link at letronna.si
| - Reads individual email history and communication patterns
- Analyzes what has built up between two people over time
- Tracks changes against each person's normal baseline
- Provides color-coded feedback: green, yellow, red across five dimensions
- Predicts likely outcomes with recommended actions
- Includes contextual external factors when provided
- Sealed record system for privacy and historical continuity
- MCP server with Apache 2.0 open source client code
- llms.txt file for agent discovery and integration
- OpenAPI file for tool integration
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| What makes it different | - Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
- Starts in 7.65 ms with 84% on Harness-Bench
- Plain text memory files you can edit, not a black box
- Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
- Pay only for hosted models and cloud compute, not per seat
| - Reads each person individually first, through their own patterns, rather than generic scoring
- Remembers relationship history and shows what changed between readings
- Never returns scores, trait ratings or personality labels on named people
- Simple one-request API integration with no library installation needed
- Privacy-first: sealed records only ARVX can decrypt, keeps nothing about subjects
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 29 ▲ +9 (up) since last check | 12 ▲ +3 (up) since last check |
| Trust Flow (Majestic) | 0 | 4 |
| Citation Flow (Majestic) | 0 | 28 |
| Referring domains (Majestic) | 0 | 24 |