Ignacio Martinez
Bio
AI Developer Advocate at Oracle focused on AI agent memory and generative AI; contributor to the Oracle AI Agent Memory package and co-author of the Agent Memory course.
Session (1)
Nacho Martinez is Oracle's AI Developer Advocate who teaches developers to build production-grade agentic AI systems — from multi-agent RAG with the A2A protocol to persistent agent memory — using Oracle AI Database and OCI. His recent co-instruction of DeepLearning.AI's "Agent Memory" course alongside Richmond Alake, plus his prolific open-source work and writing, make his sessions a practical deep-dive into building stateful, multi-session AI agents in enterprise environments.
GitHub
@jasperan- jasperan/whatsapp-osint★ 1,400WhatsApp spy - logs online/offline events from ANYONE in the world
- jasperan/oraclaw★ 2A fork of OpenClaw that integrates Oracle AI Database as the persistent memory layer
- oracle-devrel/oracle-ai-developer-huborg★ 4,200Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Recent writing (4)
- 16 Ways to make a Small Language Model think bigger · blog · Apr 2026
- Build an Ultra-Lightweight, Local-First AI Assistant with Persistent Memory · blog · Apr 2026
- The Great AI Context Debate: Why 'Filesystem vs Database' Is the Wrong Question · blog · Feb 2026
- Build a Scalable Multi Agent RAG system with A2A Protocol and LangChain · blog · Jan 2026
Public activity researched automatically · as of Jun 2026