Remote MCP platform that lets AI connect to your authorized Windows computers
Self-hosted multi-agent simulation framework for building autonomous agent civilizations
Stage
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Founded
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Pricing model
Freemium
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Pricing
Free tier with usage quota; paid plans available at https://ailinkany.com/pricing. Registration, AI connection, and computer binding are free; pricing is checked only when executing computer tasks.
Developer License: $49 USD (one-time) includes Python/FastAPI engine source code, Vite/React observer dashboard, zero-cost mock mode, and single-user research grant. Commercial License: $149 USD (one-time) includes everything in Developer License plus perpetual royalty-free commercial distribution,
Key features
Remote MCP endpoint for AI assistants
Shell command execution on authorized Windows PCs
File read/write and directory management
Multi-device unified management
AI session handoff for long agentic workflows
SSH, Telnet and serial port connections
OAuth-isolated AI sessions with Device Token separation
Command idempotency with command_id
Decoupled tick loop with independent tick rate scheduling
SQLite WAL-mode persistence with concurrent reads and zero lock overhead
Multi-generational genealogy and asset transaction logs
Zero-token mock mode for local simulation without API costs
Python/FastAPI backend with Vite/React observer dashboard
Circadian cycles and natural mortality mechanics
Seamless LLM integration with OpenAI, Anthropic, or Ollama
Docker Compose deployment stack for Commercial License
Instant source code delivery with digital license key
What makes it different
Secure separation between AI OAuth identity and device credentials
Local files remain on your computer by default; only transmitted when explicitly requested
Supports multiple AI platforms through single Remote MCP endpoint
Free registration and computer binding without requiring a paid plan
Turnkey engineering for complex simulations without building the loop from scratch
Zero recurring platform subscriptions with direct software licensing
No lock overhead persistence with WAL-mode SQLite for concurrent reads
Local LLM execution without incurring API costs in mock mode
Royalty-free commercial distribution rights with Commercial License