Run LangGraph at 85% Lower Cost
Deploy LangGraph agent backends on reliable, dedicated virtual servers.
Run agents, APIs, workers, tools, and memory backends without hyperscaler pricing.
Built for LangGraph agent hosting
LangGraph helps developers build stateful agents, tool-calling
workflows, and multi-step AI applications. Fluence gives those
workloads a lower-cost compute layer with virtual servers.
Host LangGraph graphs, deep agents, APIs, workers, and webhook handlers on Fluence infrastructure.
Manage state and memory
Use LangGraph backends like StateBackend, StoreBackend, and CompositeBackend for files, memory, and state.
Start from $9 per month
Keep infrastructure lean with daily billing and outbound traffic included.
One architecture for LangGraph AI agents
Keep LangGraph agents cost-efficient by hosting the backend on a persistent Fluence Virtual Server while model execution, tools, memory, and observability stay separate.
LangGraph on Virtual Servers
LangGraph runtime, agent API, Docker runtime, webhook handlers, and background workers run on Fluence.
Connects externally
Connect LangGraph to model APIs, tool APIs, LangSmith, application backends, Postgres, Redis, and workload-specific state or memory stores.
Select a location, server type, storage, operating system, SSH key, and open ports for your LangGraph backend.
Install your runtime, package your LangGraph app, and run your agent API, workers, webhooks, or Docker service on Fluence.
Connect LangGraph to model APIs, tools, LangSmith, Postgres, Redis, or other state and memory backends.
Keep LangGraph agents running on dedicated Virtual Servers at a lower benchmark cost than traditional cloud providers, with daily billing, zero egress fees, and unlimited bandwidth included.
No hidden or surprise fees
Lower always-on backend costs
Transparent, predictable daily billing
Note: Calculator estimates reflect only the Virtual Server layer used for LangGraph hosting.
Run LangGraph backends with the flexibility of VPS-style hosting, plus lower-cost compute, transparent pricing, and portable backend storage.
What you can build with LangGraph on Fluence
LangGraph agent APIs
Expose LangGraph agents as stable APIs for products, internal tools, support workflows, or automation systems.
Common stack: LangGraph, FastAPI, Docker, model APIs
Tool-calling agents
Run agents that call external APIs, trigger webhooks, process data, and coordinate multi-step workflows.
Common stack: LangGraph nodes, tools, webhooks, external APIs
Stateful workflow backends
Host long-running graph workflows with persistent state, memory, files, and background execution.
Common stack: LangGraph, StoreBackend, Postgres, Redis
RAG and memory agents
Build agents that retrieve documents, store context, and persist user or task memory across sessions.
Common stack: LangGraph, CompositeBackend, vector stores, LangSmith
A global marketplace of compute
Find the nearest and most cost-efficient CPU and GPU resources your agents need
from top-tier providers across the globe, unified in one console.
FAQ
Can I run LangGraph on Fluence?
Is Fluence a managed LangGraph platform?
What LangGraph components can I host?
How do I expose a LangGraph API?
Which LangGraph backend should I use?
Can I use Postgres or Redis with LangGraph on Fluence?
Can I use GPUs for LangGraph workloads?
Is this suitable for production LangGraph agents?
Run LangGraph at up to 85% lower cost
Run your LangGraph backend on Fluence and
connect the model stack you already use.
