We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFBuilding a terminal-native AI coding agent that needs a clean separation between CLI invocation and interactive session.
THENAdopt a dispatcher → TUI → engine → tools pattern: the CLI binary (dispatcher) parses subcommands and delegates to a companion TUI binary for interactive sessions. The TUI runs a ratatui-based interface that communicates with an async engine executing the agent loop, which dispatches tool calls through a typed registry (shell, file ops, git, web, sub-site_1, MCP). This keeps the CLI layer thin and the interactive logic decoupled.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
Connect a site