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.
IFUser wants to deploy Coze Loop in a production Kubernetes environment but there are no deployment YAMLs available.
THENCreate Helm charts to package Kubernetes manifests, enabling easy deployment and management of Coze Loop on Kubernetes clusters. The charts should support configurable values for different environments and include best practices for production readiness.
IFLiteLLM migration job fails with OSError Read-only file system when readOnlyRootFilesystem: true is set in security context.
THENSwitch to the non-root LiteLLM Docker image (e.g., ghcr.io/berriai/litellm:non-root-latest) which pre-generates the Prisma client and avoids writing to /usr/lib/python3.13/site-packages/prisma/ at runtime. Alternatively, ensure the prisma client is already generated in a writable volume and the generation step is skipped.
IFNeed to deploy Dify on a Kubernetes cluster for high availability and scalability.
THENUse one of the community-contributed Helm Charts or YAML files. For example, deploy using the Helm Chart by LeoQuote or the YAML file by Winson-030. Ensure to configure ingress, persistent volumes, and environment variables as needed.
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