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# How to Build a Custom Agent Harness

**[LangChain](https://daily.dev/sources/langchain)** · 5 min read · 0 upvotes · 0 comments

## Summary

Building useful AI agents requires a harness — the scaffolding that connects a model to tools, context, and the environment. LangChain's `create_agent` primitive provides a minimalistic base that implements the core agent loop and exposes middleware as the primary customization mechanism. Middleware hooks into the loop before/after model and tool calls, enabling deterministic business logic, tool lifecycle management, custom state tracking, and stream handling. Prebuilt middleware covers common patterns, while custom middleware handles bespoke needs. The concept of 'task-harness fit' — how well the harness matches the actual demands of the task — is presented as the key determinant of agent quality.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.langchain.com/blog/how-to-build-a-custom-agent-harness>

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- [The Agent Harness: What It Is and Two Ways to Build One](https://daily.dev/posts/the-agent-harness-what-it-is-and-two-ways-to-build-one-zvqv3odcc) · InfoQ · 1 upvotes · 0 comments

---

Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain)

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