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.
IFImportError: cannot import name 'global_handler' from 'llama_index.core' when initializing Ollama LLM.
THENBefore using Ollama (or any LLM), call set_global_handler from llama_index.callbacks.global_handlers with an appropriate eval_mode to set the global handler, then access it via llama_index.global_handler. Alternatively, reinstall from source using 'pip install git+https://github.com/run-llama/llama_index.git' in a fresh virtual environment.
IFWhen importing langchain modules with langchain 0.0.249 on Python 3.8, a TypeError 'multiple bases have instance lay-out conflict' occurs due to multiple inheritance in HumanMessageChunk class.
THENUpgrade langchain to version 0.0.251 or later, which resolves the multiple inheritance conflict. Alternatively, refactor the class to use composition instead of multiple inheritance, but the simplest fix is to run 'pip install langchain --upgrade'.
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