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LangGraph integration example / cookbook #4

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Description

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Feature: LangGraph integration cookbook

A common question will be: "how do I use Dendrite with LangGraph / LlamaIndex / AutoGen?"

This issue tracks creating a working example that wires Dendrite's fork-based KV cache into an agent framework's tree search loop.

Scope

  • Example: LangGraph + Dendrite for Tree-of-Thought reasoning
    • LangGraph handles the graph structure / decision logic
    • Dendrite handles the KV cache (O(1) fork per branch)
    • Show: N-branch exploration with shared prefix memory

Proposed Example Structure

examples/
  langraph_tot/
    README.md          # What it does, how to run
    agent.py           # LangGraph StateGraph definition
    dendrite_bridge.py # Dendrite session manager, fork on branch
    run.py             # Entry point with a sample reasoning task

Why This Matters

Makes the value proposition concrete for Python users. Most HN/Reddit readers will want to know "can I drop this into my existing agent stack?" — this example answers that question.

Complexity

Medium — requires Python bindings (#2) first, OR can use subprocess/HTTP bridge as interim. Good first project for someone comfortable with both LangGraph and Rust FFI.

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    enhancementNew feature or requestgood first issueGood for newcomersintegrationsIntegration with external tools/frameworks

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