Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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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.
Sample rules shown
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2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
ollama_configuration
infrastructure-ollama-configuration-chatollama-from-langchain-ollama-does-not-accept-a-b7afe8ab
IFChatOllama from langchain_ollama does not accept a base_url parameter, defaulting to site_1 and causing connection refused.
THENSet the OLLAMA_HOST environment variable to the Ollama server URL before importing langchain_ollama. If the server is behind a proxy (e.g., Open Web UI), ensure the variable points to the root Ollama endpoint (e.g., http://host:port) without a subpath. Alternatively, use langchain_community.llms.ollama.Ollama which supports a base_url parameter.
Tier 170%
ollama_configuration
ai-agents-ollama-configuration-using-chatollama-from-langchain-ollama-with-a-remo-95e85e69
IFUsing ChatOllama from langchain_ollama with a remote Ollama server (non-site_1) results in connection refused because there is no base_url parameter.
THENSet the environment variable OLLAMA_HOST to the remote server URL (e.g., http://<host>:11434) before importing langchain_ollama. Ensure this is done before any import statements because the underlying ollama client initializes at import time.
Tier 170%
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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.
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