Learn how to build the harness (prompts, tools, memory, and control logic) and the agentic loop that drives agents over long horizons.
Read Anthropic's "Effective Harnesses for Long Running Agents" and its companion "Harness Design for Long Running Apps." They explain why agents that run for minutes or hours, not seconds, need deliberate engineering for context compaction, error recovery, and state management.
Read OpenAI's "Harness Engineering: Leveraging Codex in an Agent-First World" for a practical look at building harnesses around coding agents in a real agent-first workflow.
Every agent runs on a loop: observe, decide, act, repeat. "How to Solve Problems of Autonomous Agentic AI Workflows" covers common failure modes (drift, runaway loops, lost context) and how to keep a loop on track. LangChain's "Continual Learning for AI Agents" shows how the best loops learn from each iteration and improve with every run.
Study the "Hermes Agent Masterclass" (architecture similar to OpenClaw): the harness and loop working together as an always-on agent that lives on a server, runs continuously, and reaches you over Telegram or Slack. Send it a task from your phone, and it works on its own and messages you back.
Date: Wednesday, July 1, 2026
Time: 9:30 am PST
Comment below for the Zoom link and bring your questions.