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.
IFImport errors, especially in llama_index v0.10.x, after upgrading from older versions or with conflicting package installations.
THENStart with a fresh virtual environment. Uninstall any existing llama-index globally, create a new venv, activate it, and install 'llama-index' from PyPI. If issues persist, install directly from the GitHub repository using 'pip install git+https://github.com/run-llama/llama_index.git'. This ensures all integration packages are correctly split and compatible.
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