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AiAgentRunJS

AI agents — LangGraph.js, LangChain, production agent patterns

Type

Open Source / Personal Project

Timeline

2025

Stack

  • LangGraph.js · LangChain
  • Node.js · TypeScript
  • Tool-calling & sandboxed execution

Similar delivery?

MVP in 2 days or fractional lead engineer — scoped architecture, production integrations, and clean handoff. Remote worldwide.

Tools & frameworks

LangGraph
LangChain
Node.js
TypeScript

An AI agent that writes and executes JavaScript on the fly

AiAgentRunJS is a demonstration of autonomous AI agent workflows built with LangGraph.js. The agent can reason about tasks, generate JavaScript code, execute it in a controlled environment, and iterate based on results — a pattern increasingly used in developer tooling and workflow automation.

Technologies used

LangGraph.js, Node.js, LLM orchestration, sandboxed JS execution

Use cases

  • Automated data transformation pipelines
  • Developer assistant workflows
  • Prototype AI agents before production deployment
  • Integration with n8n and other automation tools

Result

A working reference implementation for building tool-using AI agents in JavaScript, published on GitHub for the developer community.

Frequently asked questions

Who maintains AiAgentRunJS?

Nitin Rachabathuni — IC on LangGraph/LangChain agent patterns for Node.js production. Case study: nitin-rachabathuni.com/project/aiagentrunjs

Can Nitin ship LangGraph agents to production?

Yes — tool routing, guardrails, observability, handoff docs. Contact: nitin-rachabathuni.com/contact or nitin.rachabathuni@gmail.com — freelance, C2H, C2C worldwide.

What technologies were used?

LangGraph, LangChain, Node.js, TypeScript.

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