Uploaded April 2026 | Updated September 2026, 2 weeks ago
To apply 40% off 3 months of Coursera plus - imp.i384100.net/c/7245724/3880401/14726
Google AI Essentials - imp.i384100.net/1GW56D
Prompt Engineering for ChatGPT - imp.i384100.net/gRWb9g
Gen AI with LLMs - imp.i384100.net/n421aV
IBM AI Developer - imp.i384100.net/R06yzX
In this video, I define what an agent harness is (and what it isn’t), explain how it differs from frameworks like LangChain, LangGraph, AutoGen, and CrewAI, and show how a harness turns a one-shot model into an agent that can act, observe results, and iterate toward a solution. I break down nine key harness components: the while-loop engine, context management and compaction, tools vs. skills with a registry, subagent management, built-in skills, session persistence/memory, dynamic system prompt assembly from files like CLAUDE.md or AGENTS.md, lifecycle hooks (pre/post tool), and permissions/safety with dynamic command classification and user approvals. I then walk through a minimal Python reference implementation covering these pieces, including tool descriptors, subagent archetypes, append-only JSON event logs, and prompt assembly considerations like prefix caching.
My voice to text App: whryte.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 What Is a Harness
01:50 Harness vs Frameworks
03:19 Nine Core Components
03:49 Loop and Context Control
05:41 Tools Skills and Subagents
06:57 Sponsor - Coursera
09:03 Memory Prompts and Hooks
11:41 Permissions and Safety Layer
13:04 Build a Mini Harness
13:18 Reference Implementation Walkthrough
To apply 40% off 3 months of Coursera plus - imp.i384100.net/c/7245724/3880401/14726
Google AI Essentials - imp.i384100.net/1GW56D
Prompt Engineering for ChatGPT - imp.i384100.net/gRWb9g
Gen AI with LLMs - imp.i384100.net/n421aV
IBM AI Developer - imp.i384100.net/R06yzX
In this video, I define what an agent harness is (and what it isn’t), explain how it differs from frameworks like LangChain, LangGraph, AutoGen, and CrewAI, and show how a harness turns a one-shot model into an agent that can act, observe results, and iterate toward a solution. I break down nine key harness components: the while-loop engine, context management and compaction, tools vs. skills with a registry, subagent management, built-in skills, session persistence/memory, dynamic system prompt assembly from files like CLAUDE.md or AGENTS.md, lifecycle hooks (pre/post tool), and permissions/safety with dynamic command classification and user approvals. I then walk through a minimal Python reference implementation covering these pieces, including tool descriptors, subagent archetypes, append-only JSON event logs, and prompt assembly considerations like prefix caching.
My voice to text App: whryte.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 What Is a Harness
01:50 Harness vs Frameworks
03:19 Nine Core Components
03:49 Loop and Context Control
05:41 Tools Skills and Subagents
06:57 Sponsor - Coursera
09:03 Memory Prompts and Hooks
11:41 Permissions and Safety Layer
13:04 Build a Mini Harness
13:18 Reference Implementation Walkthrough
