comparison

inference.sh agents vs LangGraph Cloud

LangGraph is a framework you deploy yourself. inference.sh agents is a runtime that handles the infrastructure.

LangGraphinference.sh
agent orchestration
durable execution
human-in-the-loop
250+ tools built in
MCP connections
skill registry
multi-channel (slack, telegram, discord)
cron triggers and scheduling
BYOK (bring your own keys)
team workspace

the key difference

LangGraph Cloud gives you maximum control over the execution graph. you define nodes, edges, and state transitions explicitly. it's a powerful framework for teams that want to own every detail of agent orchestration.

inference.sh agents takes a different approach. you write prompts, tool selection, and business logic. the runtime handles retries, state persistence, queuing, observability, and multi-channel delivery. the tradeoff: LangGraph gives you more control over the execution graph. inference.sh gives you more infrastructure out of the box.

if you're spending more time on retries and state management than on agent logic, that's the gap inference.sh fills.

250+ tools, not just LLMs

LangGraph agents call LLMs and custom functions you write. inference.sh agents call 250+ built-in tools: AI models, email, search, video rendering, project management. plus MCP servers. plus skills. your agent can generate an image with flux, render it with remotion, and post it to slack. one runtime, no glue code.

frequently asked questions

when should I use LangGraph instead of inference.sh?

if you need fine-grained control over the execution graph and want to define every node, edge, and state transition explicitly, LangGraph gives you that level of control.

when should I use inference.sh agents instead of LangGraph?

when you want to focus on agent logic instead of infrastructure. inference.sh gives you durable execution, 250+ tools, multi-channel delivery, and observability out of the box.

can I migrate from LangGraph to inference.sh?

yes. your agent logic (prompts, tool selection, business rules) transfers directly. the infrastructure layer is what changes, from self-managed to managed.

ready to ship?

start with the hosted platform. deploy your own when you're ready.

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