Agents
This. And i know it works very well.
Harrison Chase, the co-founder and CEO of LangChain, shared or endorsed a post on X (formerly Twitter) expressing strong confidence in a particular approach, tool, or method, stating it 'works very we
Harrison Chase, the co-founder and CEO of LangChain, shared or endorsed a post on X (formerly Twitter) expressing strong confidence in a particular approach, tool, or method, stating it "works very well." The content likely relates to LangChain, AI agents, or language model development workflows, given Chase's focus in the AI/LLM space. The specific technical detail or recommendation being highlighted is not available without access to the original post.
Related
- 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…
- harness engineering > prompt engineering prompts get you 80% there the last 20% — tool routing, memory retrieval, retry logic, evals — thats…
- Very good article from @hwchase17 about the agent harness and memory achitecture.
- ended up writing similar style post: your harness, your memory https://x.com/hwchase17/status/2042978500567609738 cited @sarahwooders post a…
Source: Harrison Chase (X) | 2026-04-12