| What it does | Custom AI agents trained on your business data, deployed in minutes
| An AI workforce that runs on your machines
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Free trial
| Freemium
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| Pricing | Free plan at $0/month with 20 message credits; Starter at $16/month ($190/year) with 2,000 message credits; Plus at $40/month ($470/year) with 5,000 message credits; Premium at $83/month ($990/year) with 10,000 message credits. 20% discount on yearly plans.
| Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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| Key features | - Train AI agents with files, websites, and YouTube content
- Multi-language support with native responses
- Multiple LLM models including GPT-5.1, Claude, and Gemini
- Smart integrations to trigger actions and book appointments
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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| What makes it different | - Build and deploy custom AI agents in minutes without coding
- Automate 80%+ of repetitive conversations across departments
- Voice and chat agents available 24/7 on your website
- Double team capacity by automating customer and support interactions
| - Agents run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 4 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 4 | 0 |
| Citation Flow (Majestic) | 20 | 13 |
| Referring domains (Majestic) | 25 | 4 |