100% this. Memory is just a form of context. Context is all you need, and context is everything when making a great agent.

Harrison Chase, co-founder of LangChain, endorsed the perspective that memory in AI agents is fundamentally a form of context, emphasizing that effective context management is the core requirement for building high-performing agents. This viewpoint aligns with LangChain's architectural philosophy, where agent memory systems are treated as mechanisms for populating and managing context windows. The statement reflects a broader industry consensus that context engineering—what information is provided to an agent and how—is the primary lever for improving agent behavior and performance.

memory is just context -> the harness decides what gets remembered, how, and when memory ownership = agent ownership deepagents lets you own…
TLDR; memory = harness => keep your memory and harness on your side of the API.
This is the right frame. We’re currently designing our agent memory platform, and the hardest part isn’t storage — it’s deciding what to rem…
“Memory is important, and it creates lock in” Exactly why I don’t want OpenAI, Anthropic or any of the other AI companies owning it.
OpenAI's server-side compaction and Anthropic's messing up with context are terrible precedents for memory. I do think Harrison is correct, …
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

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