Very good article from @hwchase17 about the agent harness and memory achitecture.

Harrison Chase, the creator of LangChain, shared an article discussing agent harness design and memory architecture for AI systems. The post highlights approaches to structuring how agents manage and retrieve information across interactions, a core challenge in building effective AI agents. This likely covers patterns for short-term and long-term memory storage, retrieval mechanisms, and how these components integrate within an agent's operational framework.

ended up writing similar style post: your harness, your memory https://x.com/hwchase17/status/2042978500567609738 cited @sarahwooders post a…
Just finished reading this blog on agent harnesses. Man, it’s one of the clearest, most practical takes I’ve seen why they’re here to stay a…
The clarity of this piece by @hwchase17 is immense. No jargon.
Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…
your harness = your memory if you'd rather read in blog form, link here: https://blog.langchain.com/your-harness-your-memory/
harness engineering > prompt engineering prompts get you 80% there the last 20% — tool routing, memory retrieval, retry logic, evals — thats…

Source: Harrison Chase (X) | 2026-04-12

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