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.
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4,089
Tier-2 (your patterns)
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tool_compatibility
ai-agents-tool-compatibility-runtime-keyerror-data-when-using-playwright-s-navi-cd1e1d99
IFRuntime KeyError: 'data' when using Playwright's NavigateBackTool, CurrentWebPageTool, or ExtractTextTool in LangChain with Pydantic v2.
THENFor each affected tool, define an explicit Input model as a Pydantic BaseModel subclass with no fields and assign it to the tool's args_schema. This fixes the mismatch caused by the Pydantic 2 compatibility change that removed auto-generated 'data' fields.
Tier 170%
tool_compatibility
ai-agents-tool-compatibility-langchain-agent-creation-fails-with-attributeerror-25d42f44
IFLangChain agent creation fails with AttributeError: 'Tool' object has no attribute 'name' when using external tool classes like Google's grounding Tool.
THENEnsure all tools passed to LangChain agent functions (e.g., create_react_agent) are instances of LangChain's BaseTool or have the required 'name' and 'description' attributes. For Google's Tool, either wrap it in a custom LangChain tool or use ChatVertexAI instead of the deprecated create_react_agent.
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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