What is the best way to manage memory in LangGraph?

Start with PostgresSaver via Docker for persistence, add trimming as baseline, summarization for long contexts.

How do you prevent context window overflow in LangGraph agents?

Use trimming to cut old messages or summarization to compress them—trim for speed, summarize for smarts.

Is InMemorySaver safe for LangGraph production?

No—RAM vanishes on restart. Switch to Postgres immediately.

LangGraph's Forgetful Brain: Why RAM Defaults Doom Your Agents

What if your slick AI agent turned into a goldfish after one server hiccup? LangGraph's default memory setup does exactly that—until you swap RAM for Postgres and tame those exploding context windows.

theAIcatchup Apr 09, 2026 3 min read

LangGraph memory flow: from volatile RAM InMemorySaver to persistent Postgres with trimming and summarization

⚡ Key Takeaways

Ditch InMemorySaver for production; PostgresSaver via Docker persists state across restarts. 𝕏
Combat context overflow with trimming (simple, lossy) or summarization (smart, expensive). 𝕏
LangGraph's defaults encourage bad habits—treat memory as core, not afterthought. 𝕏

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#AI agents #LangGraph #PostgresSaver #context window #memory management

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Originally reported by Towards AI

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