LangChain ships built-in memory for deepagents, letting agents learn across runs
hwchase17 · x · 2026-09-09
LangChain confirms memory is now built into deepagents — the previously 'missing memory layer' for agents meant to improve after every run:
- Instead of stuffing everything into one giant prompt, deep agents can keep long-term memory, reusable skills, and lessons from previous tasks.
- The core loop: 1) run the task, 2) save what actually worked, 3) load that lesson into the next run — so agents stop starting from zero.
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