Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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.
Sample rules shown
3
Categories
2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
agent_memory_serialization
ai-agents-agent-memory-seriali-openai-agent-s-memory-to-string-fails-because-chat-044de7c2
IFOpenAI Agent's memory.to_string() fails because ChatCompletionMessageToolCall objects are not JSON serializable, raising TypeError.
THENImplement a to_dict() method on ChatCompletionMessageToolCall that converts its properties to a JSON-serializable dict, or use the existing .dict() method from Pydantic v1. Alternatively, use pickle.dumps() on the memory dict obtained via memory.to_dict().
Tier 170%
agent_memory_serialization
ai-agents-agent-memory-seriali-openaiagent-memory-to-string-raises-typeerror-beca-f74c4704
IFOpenAIAgent memory.to_string() raises TypeError because ChatCompletionMessageToolCall is not JSON serializable.
THENUse memory.to_dict() to obtain a serializable dictionary, then serialize that dict with json.dumps or pickle.dumps. Do not rely on the built-in .to_string() method for OpenAI site_1.
Tier 170%
agent_memory_serialization
ai-agents-agent-memory-seriali-memory-serialization-fails-when-calling-openaiagen-f8797a82
IFMemory serialization fails when calling OpenAIAgent().memory.to_string() due to ChatCompletionMessageToolCall not being JSON serializable.
THENUse OpenAIAgent().memory.to_dict() to obtain a serializable dictionary, then serialize the dictionary using json.dumps() or pickle. To deserialize, reconstruct the memory object from the dictionary.
Tier 170%
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