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.
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.
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.
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.
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.
Deploy LangGraph applications on LangGraph Platform (managed) or self-hosted infrastructure. Scaling configuration, persistence backends, monitoring integration, and production hardening.
Migrate from LangChain chains, raw API calls, or other frameworks to LangGraph. Optimize existing LangGraph applications for latency, cost, reliability, and maintainability.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
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.
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.
LangGraph is the agent brain, but you also need APIs, UIs, databases, and monitoring. We deliver the complete application, not just the LangGraph portion.
Deep experience across the LangChain ecosystem — LangSmith for tracing, LangServe for APIs, and community integrations. We leverage the full toolchain.
Use Cases
Each use case links to a dedicated implementation page so teams can review architecture patterns in detail.
Multi-step research workflows that search, extract, synthesize, and report — with branching logic for different source types and quality validation checkpoints.
Stateful support conversations that remember context, use tools to look up orders and accounts, and escalate to humans with full conversation history.
Agents that plan, write, test, and review code in iterative cycles with persistent state tracking across the entire development workflow.
Coordinate extraction, transformation, validation, and loading agents with error recovery and human review for data quality issues.
Execution Framework
Map your agent workflow as a state graph — nodes, edges, conditions, checkpoints, and tool definitions
Build the LangGraph application — state schema, node functions, conditional routing, and persistence layer
Connect to your APIs, databases, and UIs. End-to-end testing with LangSmith tracing and evaluation datasets
Production deployment (Platform or self-hosted), monitoring setup, cost optimization, and iteration
FAQ
Explore related services
Tell us about your agent workflow requirements — we'll design the LangGraph architecture with the right state management, tool integrations, and deployment strategy.