Multi-step automations across SaaS tools
Pulling data from one system, transforming it, posting it to another — without writing a brittle script for each combination.
Agent
The open-source workhorse agent.
OpenClaw is the production-grade open agent. It calls tools, executes code, plans across many steps, and works through real integrations. On MindsHub it runs with the credentials vault, Model Router, persistent execution, and memory you'd otherwise build yourself.
OpenClaw is an open-source AI agent designed to do real, multi-step work — not single-prompt answers. It plans, picks tools, calls APIs, runs code, persists intermediate state, and ships a finished result. Think of it as the workhorse you reach for when the task touches more than one system.
You can run OpenClaw locally for development. On MindsHub you get the operational pieces around it — credentials handling, model routing, observability, scaling — so the same agent works as a hosted service instead of a script you have to babysit.
Pulling data from one system, transforming it, posting it to another — without writing a brittle script for each combination.
A long-running agent that engineers and operators talk to about the systems they own.
When the job needs to plan, branch on intermediate results, and finish hours later — not seconds.
Cron jobs, Zapier-style flows, internal scripts — anywhere you'd benefit from an agent that can read context and adapt.
Fork the prompts, add your own tools, control the lifecycle. OpenClaw is the open base; you build the rest.
OpenClaw is open-source either way. The difference is the operational backbone around it.
| What you handle… | Self-hosted | On MindsHub |
|---|---|---|
| Secrets management | You manage keys, rotation, scoping | Built-in credentials vault |
| Model access | One provider relationship per LLM | Model Router with `latest:*` aliases |
| Persistent execution | Queues, workers, retries you build | Managed runtime, jobs survive restarts |
| Memory across runs | Your storage, your schema, your reset logic | Shared memory store, built in |
| Tool integrations | Per-tool plumbing, per-tool auth | Pre-built catalog, shared auth |
| Observability | You wire your own traces | Scratchpad + audit log on every run |
| Scaling | VMs, queues, autoscaling rules | Managed — no servers to mind |
Every integration gets its secrets from the vault. Your agent code and prompts never see raw keys.
Switch between Anthropic, OpenAI, Google, and open models without changing the agent. Pin to `latest:sonnet` and stay current as providers ship new versions.
Long-running jobs survive restarts. The agent picks up where it left off, with its scratchpad intact.
Yesterday's work — facts learned, decisions made, files touched — informs today's. No re-priming.
Pre-built integrations for databases, warehouses, SaaS APIs, file systems, and the web. Add your own without redoing the plumbing.
Every step lands in a scratchpad. Audit, replay, or hand-edit. No glue code to make traces work.
Plug in the data sources and tools OpenClaw should touch. Secrets go in the vault; permissions are scoped per integration.
Pick your model strategy (Bring your own LLMs or the MindsHub Router), set memory and persistence policies, and pin the runtime profile.
Hand off a task. Watch it work in the scratchpad, or come back to the finished result. Replay or fork any run later.
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