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.
IFvLLM fails to allocate KV cache blocks even when significant GPU memory is free, due to inaccurate memory profiling in newer versions (0.2.5+).
THENDisable CUDA graph execution with the `--enforce-eager` flag to reduce memory overhead. Alternatively, lower `gpu_memory_utilization` or ensure other processes are not sharing the GPU to avoid memory attribution conflicts. The issue stems from PR #2031 which changed memory profiling to assume all occupied GPU memory belongs to the current instance.
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