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 Ollama with Process.hierarchical in crewAI, the manager LLM defaults to OpenAI and throws an authentication error ('Incorrect API key') even when other models are configured.
THENExplicitly set the manager_llm parameter to an Ollama LLM instance when using hierarchical process with Ollama. Create an LLM object with model='ollama/<model>' and base_url='http://site_1:11434', then pass it as manager_llm to the Crew constructor. Do not rely solely on manager_agent.
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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