Fast prototypes
Test an agent-shaped idea in minutes. If it earns its keep, graduate to OpenClaw without rewriting the integrations.
Agent
Lightweight agent for fast handoffs.
NanoClaw is OpenClaw’s small, fast sibling. Built for short jobs, embedded triggers, and prototypes — anywhere the overhead of a full agent runtime would slow you down. On MindsHub you get the same managed runtime, sized for the work.
NanoClaw is an open-source AI agent built for one thing: doing a short, well-scoped job and getting out of the way. Use it when the task is a single input → single output, or when you need an agent to fire on a webhook, an event, or a schedule.
On MindsHub, NanoClaw runs on the same platform as every other open agent — credentials vault, Model Router, observability — but with a lighter footprint and per-run pricing economics that suit short jobs.
Test an agent-shaped idea in minutes. If it earns its keep, graduate to OpenClaw without rewriting the integrations.
Fire on webhooks, events, or schedule. NanoClaw runs the task, returns the result, and shuts down.
One input, one output. Classify a ticket. Summarize a transcript. Extract a field. Reply to a specific kind of email.
Hourly digests, scheduled cleanups, batch tagging. Anywhere a small agent is the right size.
Replace a brittle Lambda or Zap with an agent that can read context. NanoClaw is the right shape for the in-between.
NanoClaw 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 |
No provisioning. Pick the agent, connect the trigger, hand off the task. The first run happens before you finish reading the docs.
NanoClaw uses the same credentials vault and Model Router. You set up secrets and model access once.
Pricing is the same hosted tier as the bigger agents, but token consumption naturally tracks the small footprint. Short jobs cost less to run.
When NanoClaw outgrows the job, swap it for OpenClaw. The tools and credentials stay the same; only the agent profile changes.
NanoClaw can read from the same memory store other agents on the platform write to. Coordination without orchestration overhead.
Every run shows up in the same scratchpad and audit log as full-agent runs. No separate tooling for the small stuff.
Choose NanoClaw as the agent for this task. Same platform, smaller profile.
Attach the trigger (webhook, schedule, event), connect the one or two tools the task needs, point at the model you want.
Send a request. NanoClaw runs the task and returns the result. Audit the run, fork it, or graduate the work to OpenClaw later.
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