Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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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.
Sample rules shown
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2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
agent_setup
ai-agents-agent-setup-need-to-quickly-deploy-a-multimodal-ai-agent-that--a0bdd9d8
IFNeed to quickly deploy a multimodal AI agent that can control GUI, browser, and terminal via MCP protocol.
THENInstall and run Agent TARS CLI using `npx @agent-tars/cli@latest` or global npm install. Provide model provider and API key with flags like `--provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key`. The CLI provides headful Web UI and headless server execution options.
Tier 170%
agent_setup
ai-agents-agent-setup-need-to-create-a-simple-conversational-ai-agent-th-09ac0e00
IFNeed to create a simple conversational AI agent that responds to user tasks.
THENInstall autogen-agentchat and autogen-ext[openai], then instantiate AssistantAgent with an OpenAIChatCompletionClient model. Run the agent with a task using await agent.run().
Tier 170%
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.
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