AI Prompt for Memory & Tool Use
Scalable tool selection pattern for agents that outgrow 10-tool context. Strategy: human-in-the-loop confirmation for destructive ops. Framework: LlamaIndex agents. Covers retrieval, routing, and eval.
More prompts for Memory & Tool Use.
Entity-centric memory model for a legal agent performing customer support triage. Tracks people, orgs, docs, and relationships with episodic memory patterns over Milvus.
Implement a knowledge graph memory memory system for a AutoGen agent handling code PR review. Vector store: Supabase pgvector. Covers write, retrieve, prune, and eval.
Implement a knowledge graph memory memory system for a LangGraph agent handling meeting note extraction. Vector store: Chroma. Covers write, retrieve, prune, and eval.
Entity-centric memory model for a sales ops agent performing onboarding coordinator. Tracks people, orgs, docs, and relationships with knowledge graph memory patterns over pgvector.
Managed context window for long-running agents doing contract redlining. Covers rolling summarization, reference-and-expand, budget allocation, and eval of context loss.
Managed context window for long-running agents doing investor update drafting. Covers rolling summarization, reference-and-expand, budget allocation, and eval of context loss.