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.
IFQuerying with Ollama LLM fails with 'httpcore.ConnectError: [Errno 99] Cannot assign requested address' when using LlamaIndex in Colab or local environment.
THENEnsure the Ollama server is running (`ollama serve`) and the required model (e.g., mistral) is pulled (`ollama pull mistral`). Also check that the Ollama service is accessible on the expected host/port; if running remotely, set the base URL via `Ollama(base_url='...')`. Implement retry logic for transient network issues.
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