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AI for AI Agents / LangGraph

LangGraph Development Company India

Production-grade AI agents with LangGraph — stateful workflows, human-in-the-loop, retries, conditional branching. XPndAI's LangGraph engineers deliver in 4 weeks.

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4 wks

LangGraph agent MVP

Fixed fee

No hourly billing

100+

AI projects shipped

4.9★

Client rating

AI Use Cases for AI Agents / LangGraph

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Stateful Agent Workflows

LangGraph's graph-based architecture manages state across complex, multi-step agent workflows — where standard LangChain agents lose context or fail to recover from errors.

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Human-in-the-Loop Systems

Pause agent execution for human review or approval at any step — critical for high-stakes decisions like loan approvals, legal document review, or medical triage.

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Multi-Agent Orchestration

Supervisor agent coordinates specialist sub-agents — researcher, writer, validator, executor — each optimized for its role. XPndAI builds these for complex enterprise workflows.

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Production Reliability

LangGraph supports retries, error recovery, and conditional branching — agents don't fail silently. XPndAI adds monitoring, logging, and alerting for production agent systems.

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LangGraph + MCP Integration

Combines LangGraph's orchestration with Model Context Protocol tool definitions — your agent accesses any tool, database, or API via MCP servers.

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LangGraph Platform Deployment

XPndAI deploys LangGraph agents on LangGraph Platform (self-hosted or cloud) with persistent state storage, concurrent run handling, and production monitoring.

Frequently Asked Questions

What is LangGraph and why use it over LangChain?

LangGraph is a framework for building stateful, multi-step AI agent workflows as graphs — each node is a function or agent, edges define flow and conditions. It handles state persistence, branching, retries, and human intervention better than standard LangChain agents. Use LangGraph for complex, production-grade agents; use LangChain for simpler, linear chains.

Can XPndAI migrate our existing LangChain agents to LangGraph?

Yes. XPndAI audits your existing LangChain implementation, identifies where stateful graph architecture would improve reliability, and migrates the critical workflows to LangGraph. Simpler chains that work fine in LangChain may stay as-is — we migrate where it makes a real difference.

How much does LangGraph development cost in India?

A focused LangGraph agent system (single workflow, 3–5 nodes) costs ₹5–12L. A complex multi-agent LangGraph system with human-in-the-loop, parallel subgraphs, and production deployment costs ₹20–50L. XPndAI gives fixed-price proposals — no hourly billing.

Which other agent frameworks does XPndAI work with besides LangGraph?

XPndAI builds production agent systems with LangGraph, CrewAI, AutoGen, LlamaIndex Workflows, OpenAI Agents SDK, and custom agent architectures. We recommend LangGraph for complex stateful workflows, CrewAI for multi-role agent teams, and OpenAI Agents SDK for simpler tool-using agents.

Ready to build AI for your AI Agents / LangGraph business?

Free 30-min consultation. Fixed price proposal in 24 hrs. 4-week MVP delivery.

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