Uploaded April 2026 | Updated September 2026, 3 weeks ago
Course link: deeplearning.ai/short-courses/agent-memory-building-memory-aware-agents
As agents scale, so do their tools—but loading everything into context breaks performance and reasoning.
The Toolbox Pattern fixes this by retrieving only the tools an agent actually needs using semantic search. Instead of overload, agents get a focused, relevant toolkit for each task.
That’s how you scale to hundreds of tools without blowing up context or latency.
More links:
Oracle Developer Hub on GitHub: github.com/oracle-devrel/oracle-ai-developer-hub
Get started on OCI for free: oracle.com/uk/cloud/free
#ToolboxPattern #DeepLearningAI #Oracle #GenAI #AgentMemory
Course link: deeplearning.ai/short-courses/agent-memory-building-memory-aware-agents
As agents scale, so do their tools—but loading everything into context breaks performance and reasoning.
The Toolbox Pattern fixes this by retrieving only the tools an agent actually needs using semantic search. Instead of overload, agents get a focused, relevant toolkit for each task.
That’s how you scale to hundreds of tools without blowing up context or latency.
More links:
Oracle Developer Hub on GitHub: github.com/oracle-devrel/oracle-ai-developer-hub
Get started on OCI for free: oracle.com/uk/cloud/free
#ToolboxPattern #DeepLearningAI #Oracle #GenAI #AgentMemory










