Building an agent and running a fleet are two different jobs
A no-code builder or a framework helps you design what an agent does. It does not keep a thousand of them alive, recover them when they crash, version their files, wire 1,500+ integrations or stop one agent from starving the others. That second job is the hard, expensive one, and it is where most teams accidentally become an infrastructure company.
So this list is split by what you actually need.
Build: frameworks and builders
Design what the agent does and how it reasons.
LangGraph, CrewAI, the OpenAI Agents SDK, no-code builders.
Run: the runtime
Keep the agent alive in production for weeks at a time.
Molted runs OpenClaw and Hermes agents: recovery, resource limits, versioning, 1,500+ integrations, browser, email and voice.
Running OpenClaw is already work, and scale makes it worse
Even one OpenClaw needs babysitting: it crashes and stays down, configs corrupt, a version update breaks your setup, memory creeps up. That is the baseline, on a single instance. Now run a fleet of them on a platform that was never designed for agents, a general cloud, a VPS, a container host, and every one of those failure modes is yours to detect and fix, multiplied by every instance, around the clock. The machine does not know what OpenClaw is, so it will not restart a dead daemon, repair a corrupted config, version the agent state or stop one agent's spike from taking the others down. You quietly become the recovery system.
- Restart a silently dead agent before a client notices: not built in, you wire it.
- Repair a corrupted config that bricks an instance: yours to script.
- Stop one agent from taking down the whole machine when memory spikes: your problem.
- Version and roll back an agent state: not a feature of a generic host.
- Absorb OpenClaw version updates without breaking setups: on you, every release.
One agent
Easy to babysit.
A fleet, by hand
If you need to run agents at scale (runtime / hosting)
These keep agents alive in production.
- Molted, the managed operating environment for autonomous agents. The managed runtime for autonomous agents (OpenClaw today, more runtimes like Hermes on request): self-healing, a versioned filesystem, 1,500+ integrations, browser automation and email and voice, priced per instance per day. Best when you host or sell agents and do not want a DevOps team.
- Temporal, durable execution you write in code. The gold standard for resumable workflows, but it makes your code durable, not the agent runtime around it. Often paired with a runtime.
- LangGraph Platform, deploys LangGraph apps with persistence and observability. Tied to the framework; the runtime operations are still yours.
- General compute (Northflank, Modal, Fly.io, AWS, GCP): great for containers, functions and machines, but they do not know what an agent is. You rebuild recovery, versioning and integrations yourself.
If you need to build agents (frameworks / builders)
LangGraph, CrewAI, the OpenAI Agents SDK, and no-code builders help you author agent logic. They are not where agents live in production. Build here, then host on a runtime above.
How to choose
Match the tool to the job.
- Selling or hosting agents for clients, no DevOps team: a managed runtime like Molted.
- Need guaranteed execution of custom multi-step code: Temporal, plus a runtime for the agents.
- Already deep in a framework: that framework's deploy option, plus a runtime for the operational layer.
- Want to own everything and have the team: general compute (AWS, Northflank, Modal, Fly.io).