Build production-grade agent applications with LangGraph. We develop stateful workflows, multi-agent orchestration, human-in-the-loop checkpoints, and persistent agent memory, using the framework that gives you full control over agent execution.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
LangGraph Agent Development Build single-agent LangGraph applications with defined state graphs, conditional branching, tool calling, and structured outputs. From ReAct loops to custom execution patterns tailored to your business logic. Multi-Agent Orchestration Design supervisor-worker architectures, parallel agent execution, hierarchical teams, and agent handoffs using LangGraph. Shared state, message passing, and coordinated decision-making across agent teams. Human-in-the-Loop Workflows Implement checkpoints, approval gates, and interrupt mechanisms. Agents pause at critical decisions, present options to humans, and resume after review. Full audit trails for regulated environments. Persistent State & Memory Build long-running agent workflows with persistent state stores. Checkpointing, replay, branching, and time-travel debugging. Thread-based conversation memory and cross-session context retention. LangGraph Platform Deployment Deploy LangGraph applications on LangGraph Platform (managed) or self-hosted infrastructure. Scaling configuration, persistence backends, monitoring integration, and production hardening. Migration & Optimization Migrate from LangChain chains, raw API calls, or other frameworks to LangGraph. Optimize existing LangGraph applications for latency, cost, reliability, and maintainability.
LangGraph Specialists We build with LangGraph daily — state graphs, conditional edges, checkpointers, and the full LangGraph API surface. Not just tutorials, but production patterns we have shipped. Graph-Based Thinking LangGraph is fundamentally about state machines and directed graphs. We design agent graphs that are debuggable, testable, and maintainable — not spaghetti chains that break in production. Full-Stack Delivery LangGraph is the agent brain, but you also need APIs, UIs, databases, and monitoring. We deliver the complete application, not just the LangGraph portion. LangChain Ecosystem Deep experience across the LangChain ecosystem — LangSmith for tracing, LangServe for APIs, and community integrations. We leverage the full toolchain.
Complex Research Agents Multi-step research workflows that search, extract, synthesize, and report — with branching logic for different source types and quality validation checkpoints. Customer Support Agents Stateful support conversations that remember context, use tools to look up orders and accounts, and escalate to humans with full conversation history. Code Generation & Review Agents that plan, write, test, and review code in iterative cycles with persistent state tracking across the entire development workflow. Data Pipeline Orchestration Coordinate extraction, transformation, validation, and loading agents with error recovery and human review for data quality issues.
Workflow Design Map your agent workflow as a state graph — nodes, edges, conditions, checkpoints, and tool definitions Step 01: Workflow Design Graph Implementation Build the LangGraph application — state schema, node functions, conditional routing, and persistence layer Step 02: Graph Implementation Integration & Testing Connect to your APIs, databases, and UIs. End-to-end testing with LangSmith tracing and evaluation datasets Step 03: Integration & Testing Deploy & Monitor Production deployment (Platform or self-hosted), monitoring setup, cost optimization, and iteration Step 04: Deploy & Monitor
LangGraph Apps Shipped: 30+ Both Supported: Python+TS Weeks to Production: 3-14
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
LangGraph Agent Development Build single-agent LangGraph applications with defined state graphs, conditional branching, tool calling, and structured outputs. From ReAct loops to custom execution patterns tailored to your business logic. Multi-Agent Orchestration Design supervisor-worker architectures, parallel agent execution, hierarchical teams, and agent handoffs using LangGraph. Shared state, message passing, and coordinated decision-making across agent teams. Human-in-the-Loop Workflows Implement checkpoints, approval gates, and interrupt mechanisms. Agents pause at critical decisions, present options to humans, and resume after review. Full audit trails for regulated environments. Persistent State & Memory Build long-running agent workflows with persistent state stores. Checkpointing, replay, branching, and time-travel debugging. Thread-based conversation memory and cross-session context retention. LangGraph Platform Deployment Deploy LangGraph applications on LangGraph Platform (managed) or self-hosted infrastructure. Scaling configuration, persistence backends, monitoring integration, and production hardening. Migration & Optimization Migrate from LangChain chains, raw API calls, or other frameworks to LangGraph. Optimize existing LangGraph applications for latency, cost, reliability, and maintainability.
LangGraph Specialists We build with LangGraph daily — state graphs, conditional edges, checkpointers, and the full LangGraph API surface. Not just tutorials, but production patterns we have shipped. Graph-Based Thinking LangGraph is fundamentally about state machines and directed graphs. We design agent graphs that are debuggable, testable, and maintainable — not spaghetti chains that break in production. Full-Stack Delivery LangGraph is the agent brain, but you also need APIs, UIs, databases, and monitoring. We deliver the complete application, not just the LangGraph portion. LangChain Ecosystem Deep experience across the LangChain ecosystem — LangSmith for tracing, LangServe for APIs, and community integrations. We leverage the full toolchain.
Complex Research Agents Multi-step research workflows that search, extract, synthesize, and report — with branching logic for different source types and quality validation checkpoints. Customer Support Agents Stateful support conversations that remember context, use tools to look up orders and accounts, and escalate to humans with full conversation history. Code Generation & Review Agents that plan, write, test, and review code in iterative cycles with persistent state tracking across the entire development workflow. Data Pipeline Orchestration Coordinate extraction, transformation, validation, and loading agents with error recovery and human review for data quality issues.
Workflow Design Map your agent workflow as a state graph — nodes, edges, conditions, checkpoints, and tool definitions Step 01: Workflow Design Graph Implementation Build the LangGraph application — state schema, node functions, conditional routing, and persistence layer Step 02: Graph Implementation Integration & Testing Connect to your APIs, databases, and UIs. End-to-end testing with LangSmith tracing and evaluation datasets Step 03: Integration & Testing Deploy & Monitor Production deployment (Platform or self-hosted), monitoring setup, cost optimization, and iteration Step 04: Deploy & Monitor
FAQ
Tell us about your agent workflow requirements — we'll design the LangGraph architecture with the right state management, tool integrations, and deployment strategy.