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.
IFWhen using DeepSeek-R1 model via Ollama in LangChain, the model outputs a thinking section (e.g., between <think> tags) before the final answer, causing the parser to return incomplete or wrong output.
THENModify the Ollama response parser to detect and strip the thinking section. Extract only the final answer after the closing </think> tag. If the model includes such blocks, remove all content between <think> and </think> inclusive, then parse the remaining string. Alternatively, for immediate workaround, use the 'format' option with 'json' in the Ollama configuration to bypass the issue.
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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