Agents
Just read @hwchase17’s excellent thread on why agent harnesses are becoming the dominant way to build agents and why they’re intimately tied…
Harrison Chase, co-founder of LangChain, discusses why agent harnesses are becoming the dominant architectural pattern for building AI agents, likely referencing a thread by Howie Chase (@hwchase17).
Harrison Chase, co-founder of LangChain, discusses why agent harnesses are becoming the dominant architectural pattern for building AI agents, likely referencing a thread by Howie Chase (@hwchase17). The post explores the relationship between agent harnesses—frameworks that orchestrate LLM calls, tools, and memory—and the broader ecosystem for deploying reliable, production-ready AI agents. This reflects ongoing discussions in the LangChain community about best practices for structuring agentic AI systems.
Related
- OPEN MEMORY, OPEN HARNESS the industry shifts to closed agent harnesses locking memory behind proprietary apis. https://x.com/hwchase17/stat…
- your harness = your memory if you'd rather read in blog form, link here: https://blog.langchain.com/your-harness-your-memory/
- Agent harnesses dominate agent building and tie intimately to memory. Closed harnesses behind proprietary APIs force yielding control of age…
- TLDR; memory = harness => keep your memory and harness on your side of the API.
- Your harness, your memory
Source: Harrison Chase (X) | 2026-04-12