OpenClaw
Run OpenClaw with the infrastructure it needs for tools, credentials, models, data, and persistence.
The open platform for running AI agents
Run open agents without worrying
about agent infrastructure.
Host OpenClaw, NanoClaw, Anton, Hermes, and other open-source agents with the infrastructure they need to work with real tools, data, credentials, and models.
Managed Infrastructure
Agents Runtime
Open agents
OpenClaw
NanoClaw
Anton
Hermes
Model Router
Routes each step to the right LLM by cost, latency, and capability.
Right model for every task
Scratchpads
Protected reproducible execution environment.
Memories
Long-term, cross-run recall — facts, preferences, prior outcomes.
Credentials Vault
Encrypted secrets store — agents never see raw credentials.
OAUTH API KEY JWT SSH
Data & Tools Access
Databases
Warehouses
Docs & files
SaaS apps
Email & chat
Calendars
CRM
APIs
Data Files SaaS API / MCP
Open agents
Bring the agents you want to run.
MindsHub is built as a home for open agents and the builders who want control, inspectability, portability, and model choice. Run agents like OpenClaw, NanoClaw, Anton, and Hermes with shared infrastructure instead of stitching it together yourself.
NanoClaw
Move lightweight agent experiments from local runs to managed, reliable execution.
Anton
The open-source AI coworker. Describe the outcome you need and get a finished artifact back.
Hermes
Host Hermes alongside your other open agents and connect it to the systems it needs to work.
LLM choice
Bring the right model to every agent task.
MindsHub gives open agents a Model Router they can actually work with: use proprietary and open models side by side, route tasks to the best provider, control cost, and avoid locking every workflow into one LLM.
One agent. Any model.
Agents pick the model that fits the job: reasoning, coding, vision, long context, fast drafts, or cost-sensitive background work.
- Anthropic
- OpenAI
- Google
- Kimi (Moonshot)
- DeepSeek
- Qwen
Agent infrastructure
Everything agents need for real work, not just demos.
Real work needs real systems. MindsHub gives open agents access to the infrastructure layer they need to operate safely, usefully, and reliably.
Model router
Use the right model for each task. Switch providers, control cost, use open models, and avoid being locked into one LLM.
Credentials vault
Connect agents to real apps and services without pasting secrets into prompts, notebooks, or one-off scripts.
Tools and data access
Let agents work with files, apps, databases, warehouses, SaaS tools, and knowledge sources.
Hosting and persistence
Turn local experiments into ongoing workers that keep running after the terminal closes.
Logs and visibility
Inspect plans, steps, code, outputs, and intermediate state so agent work is understandable and reusable.
Scheduling and uptime
Run recurring jobs, daily digests, ongoing research, and operational workflows without babysitting a local process.
From local to always-on
Start with an experiment. Graduate to a reliable worker.
Choose an open agent
Start with OpenClaw, NanoClaw, Anton, Hermes, or another open-source agent your team wants to run.
Choose your models
Pick the LLM that fits each task. Switch providers, mix open and proprietary models, and keep keys managed in one place.
Connect tools and data
Give the agent access to the apps, files, databases, and knowledge sources it needs — with credentials handled for you.
Run it with managed infrastructure
Move beyond the laptop with hosted execution, persistence, scheduling, logs, and operational control.
Not sure where to start?
Run an agent that can actually finish the work.
MindsHub is built for open agents. For a practical first run, start with Anton: an open-source AI coworker you can hand work to, inspect while it runs, and use with the models, tools, and credentials your workflow needs.
Describe the outcome in plain language. Anton plans the steps, works in a secure scratchpad, and returns useful artifacts — instead of making you copy, format, and stitch the result together yourself.
Delegate outcomes, not prompts
Hand off the task in plain language. Anton plans the work and runs the steps instead of requiring step-by-step supervision.
Get finished artifacts back
Reports, spreadsheets, summaries, organized folders, daily digests, reproducible analyses, documents, and dashboards.
Choose the right LLM
Bring model choice into the workflow so each task can use the right provider, cost profile, or open model.
Connect real tools securely
A credentials vault lets the agent work with apps, files, data, and tools without pasting secrets into prompts or scripts.
Inspect the scratchpad
Review plans, steps, code, outputs, and intermediate state so the work is visible, reusable, and easier to trust.
Keep getting smarter
Anton can use memory to preserve context from prior work, learn from repeated workflows, and make each handoff easier to continue.
What is MindsHub?
A place for open agents to run, persist, and do real work.
Open-source agents are powerful, but running them reliably should not turn every developer into an agent infrastructure team. MindsHub gives agents a safe place to run — hosting, credentials, model access, tool access, data access, and persistent execution beyond a local experiment.
Start with an open agent. Connect the systems it needs. Choose the model that fits the task. Then run it as an always-on worker with the control, visibility, and reliability technical teams expect.