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.
IFRunning DeepSeek-R1 (full, non-distilled) on vLLM with 2×8×H100 GPUs causes a sudden, severe drop in tokens per second across vLLM versions 0.6.6.post1–0.7.2, regardless of engine flags.
THENSwitch to sglang v0.4.3 or later (with optional torch.compile) as a production inference server for DeepSeek-R1, which avoids the performance degradation seen in vLLM. Verify token throughput improves and remains stable.
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