An opinionated development framework for building production-ready AI agents with LangGraph. It grounds AI coding assistants (Cursor, Windsurf, Cline) and guides them to use local, official documentation, ensuring reliable, secure, and observable agentic workflows.

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LangGraph-Dev-Navigator: Build Reliable AI with Grounded Assistants

AI coding assistants are powerful, but their general knowledge can be outdated or lead to plausible-but-incorrect code ("hallucinations"). This repository addresses that by providing a framework to ground an AI assistant in the executable truth of a specific, version-controlled codebase.

The goal is to create a development environment where AI-generated code is more reliable, robust, and aligned with project-specific best practices.

A Developer's Workflow: Before and After

This framework is designed to transform your daily development experience.

Before: The Standard AI Assistant Workflow

1. The Prompt: A developer asks a generic AI assistant: "Show me how to add memory to a LangGraph agent."
2. The AI's Response: The AI, relying on its vast but general training data, generates a plausible-looking code snippet. However, the snippet might use a function that was deprecated two months ago, or instantiate a class with parameters that are subtly incorrect for the langgraph version you're using.
3. The Debuging Cycle: The code fails to run. The developer copies the error message back to the AI, starting a lengthy back-and-forth conversation to debug the AI's own hallucinated code.
4. The Result: The developer loses time and trust, doing manual debugging that the AI was supposed to prevent.

After: The Grounded Assistant Workflow

1. The Prompt: A developer asks the LangGraph-Dev-Navigator assistant: **"How do I add persistence to m