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 0.15.0 Docker container hangs during startup when using spawn multiprocessing method and mounting host's MPS socket.
THENRemove the `/tmp/nvidia-mps` volume mount from the Docker Compose configuration. This prevents spawned worker processes from deadlocking while attempting to handshake with the host's MPS daemon. Workers will instead initialize CUDA context directly on the passed-through GPU device nodes.
IFvLLM 0.15.0 container hangs at startup when using ipc:host and mounting /tmp/nvidia-mps due to new spawn multiprocessing method causing MPS socket deadlock.
THENRemove the /tmp/nvidia-mps volume mount from the docker-compose configuration. This forces spawned workers to initialize CUDA context directly on the passed-through GPU device nodes instead of attempting to handshake with the host’s MPS daemon.
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