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# LangChain Deep Agents (Python)

## Overview

Two pains bite every team reproducing LangChain's late-2025 Deep Agents blueprint.

**Virtual-FS state grows unboundedly (P51).** The planner and every subagent
write plans, scratch notes, intermediate drafts, and tool outputs into
`state["files"]`. Nothing ever evicts them. After 50 tool calls, the checkpointed
state is **8 MB**; every `MemorySaver.put()` takes **400 ms**; a run that started
at 1.2 s per node visit ends at 2.5 s per node visit. The LangSmith trace viewer
times out loading the thread. The user sees latency doubling over the run with
no obvious tool-level culprit.

**Subagent persona leak (P52).** The naive prompt-composition inside the
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