O'Reilly Live Event · Aug 12, 2026 · 2 hours Completed
Harness Engineering for AI Agents
Design the production infrastructure around an agent — memory architecture, tool integration, and observability — so it holds up well outside the demo.
LLMCAMP — Learn
Learn
A growing library of live sessions, recorded talks, and curated videos on building AI systems that remember — agent memory, continual learning, and memory engineering. New material is added as it goes live.
Live sessionsAgent memory · Harness engineering
O'Reilly Live Event · Aug 24–25, 2026 · 2-day bootcamp Completed
AI Agent Memory Management Bootcamp
Build robust memory systems for AI agents end to end — memory types, retrieval strategies, and evaluation frameworks for measuring how well an agent actually remembers.
O'Reilly Live Event · Aug 27, 2026 · 2 hours Completed
Advanced Harness Engineering
Go deeper: durable, checkpointed workflow harnesses and parallel multi-agent deep-research systems that gather evidence and consolidate it into persistent knowledge.
O'Reilly Live Event · Sep 29, 2026 · 2 hours Completed
Harness Engineering for AI Agents
Design and build production-ready agentic infrastructure, including memory-first architecture, tools, MCP servers, semantic caching, and production observability.
Maven Live Workshop · Oct 1, 2026 · 2.5-hour workshop Completed
Introduction to AI Agent Memory
Move from treating memory as a feature to designing it as infrastructure, with the vocabulary, reference architecture, and implementation patterns behind the full agent-memory lifecycle.
Watch
Build AI Agents That Actually Remember
Richmond Alake · OpenAI + OAMP Masterclass
Newsletter
The LLMCAMP Newsletter
A weekly, high-signal email for AI practitioners who want to keep leveling up. Each issue brings curated learning materials on agent memory, LLMs, continual learning, and memory engineering — plus a tight roundup of the AI news that actually matters. Signal, not noise.
- Curated learning materials on a key AI topic each week
- A high-signal roundup of the AI news worth your time
- Practical patterns you can apply to real systems