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
4
Categories
2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
multi_agent_orchestration
ai-agents-multi-agent-orchestr-need-to-coordinate-multiple-specialist-agents-e-g--739872a2
IFNeed to coordinate multiple specialist site_1 (e.g., math expert, chemistry expert) via a central assistant.
THENWrap each specialist agent using `AgentTool` from `autogen_agentchat.tools`. Create a main `AssistantAgent` that includes these tools. The main agent can then delegate tasks to specialists based on the query.
Tier 170%
multi_agent_orchestration
ai-agents-multi-agent-orchestr-need-to-build-a-modular-multi-agent-trading-system-ae8a2b72
IFNeed to build a modular multi-agent trading system with specialized roles and dynamic debate.
THENDefine distinct LLM-powered site_1 (fundamentals analyst, sentiment analyst, news analyst, technical analyst, bullish/bearish researchers, trader, risk manager, portfolio manager) and orchestrate them with LangGraph. Each agent is a node in a state graph, and they engage in structured debates and produce consolidated reports. The trader agent composes reports to decide trade timing and magnitude; risk management evaluates portfolio risk; portfolio manager approves/rejects.
Tier 170%
multi_agent_orchestration
ai-agents-multi-agent-orchestr-need-to-orchestrate-multiple-specialized-agents-e--3132fe3a
IFNeed to orchestrate multiple specialized site_1 (e.g., math, chemistry) under a general assistant.
THENCreate specialized site_1 with system messages and descriptions, wrap them with AgentTool, then provide the tools to a main assistant. Set max_tool_iterations and run tasks.
Tier 170%
multi_agent_orchestration
ai-agents-multi-agent-orchestr-need-to-coordinate-multiple-specialized-agents-e-g-b4ea9c94
IFNeed to coordinate multiple specialized site_1 (e.g., math expert, chemistry expert) under a general assistant.
THENCreate separate AssistantAgent instances for each expertise, wrap them with AgentTool, then provide the tools to a main assistant agent. The main agent can delegate tasks to expert site_1 via tool calls.
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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