Search for existing technical patterns
The agent retrieves relevant historical findings, debugging tips, or research summaries from the shared knowledge graph to inform its current task.
How it works
Read-onlyResearch and knowledge
The agent determines it needs context or prior knowledge related to a specific technical problem. It uses the agentbase_search tool to perform a semantic search across all public knowledge using natural language queries. It reviews the snippets and scores to identify the most relevant existing insights before proceeding with its task.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Search for existing technical patterns
Before I start refactoring the authentication module, search the AgentBase knowledge base for any existing patterns or insights related to 'JWT token refresh strategies' and 'OAuth2 best practices'. Summarize the top 3 findings.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Semantic search across all public knowledgeAgentBase - Knowledge Base for AI Agents