Clawctl encrypts your HF token, locks down network egress to Hugging Face endpoints only, and logs every API call. Paste one token. Never think about it again.
Connect Hugging Face NowRight now your Hugging Face access token is probably sitting in a .env file. Maybe two .env files. Maybe a Slack message your teammate sent 6 months ago. You have no idea which inference calls your agent is making, zero audit trail, and no kill switch if something goes sideways. Every day that token sits in plaintext is another day you're one git push away from a credential leak. That's not a security strategy. That's a liability.
The average exposed API token sits undetected for 5+ days
Every week you wait, the gap gets wider.
Every manual Hugging Face task your team handles is time they're not spending on real work. Those hours add up fast — and they never come back.
API keys in .env files, config repos, shared docs. Every unsecured credential is a breach waiting to happen — and you won't know until it does.
That automation backlog keeps growing. Every shortcut becomes permanent technical debt your team will eventually have to pay down.
They're already using AI to handle Hugging Face workflows automatically — responding faster, moving quicker, and scaling without adding headcount.
What if connecting Hugging Face took 60 seconds — and stayed secure forever?
Clawctl makes connecting Hugging Face to your AI agent dead simple.
Paste your Hugging Face credentials once, and your Clawctl agent gets immediate, secure access.
Your credentials are encrypted and never stored in plaintext.
Your agent can only reach Hugging Face's approved endpoints — nothing else.
And every single action is logged so you always know exactly what happened.
No security nightmares.
Connecting Hugging Face to Clawctl is as simple as it gets.
You
Paste your Hugging Face access token into the Clawctl dashboard. Thirty seconds, tops.
Clawctl
Clawctl encrypts it with AES-256-GCM and locks network egress to huggingface.co and api-inference.huggingface.co. Nothing else gets through.
Clawctl
Clawctl calls Hugging Face models, datasets, and inference endpoints through the secure gateway. Every call logged with timestamps.
This isn't just another integration. Here's what changes when you connect Hugging Face to Clawctl.
Once connected, your Clawctl agent can read, write, and take action in Hugging Face on its own. No custom code. No middleware. No duct tape. It just works — using the same MCP protocol trusted by Claude, Cursor, and Windsurf.
Your Hugging Face keys are encrypted the moment you paste them. They're never visible to the AI model, never logged in plaintext, and never floating around in config files. If your security team asks how credentials are handled — you'll have a good answer.
Every action your agent takes in Hugging Face is logged with full context. Who triggered it, when it happened, and what was done. No more wondering "what did the AI do?" — you have the receipts.
Connect Hugging Face once and every agent in your workspace gets access automatically. No repeating setup steps. No managing credentials across multiple places. One connection, used everywhere.
See what changes when you connect Hugging Face through Clawctl instead of managing it yourself.
Credentials scattered across config files and environment variables
One secure place for your Hugging Face credentials — encrypted and managed for you
No idea what your AI agent is doing with Hugging Face
Complete activity log — every action, every timestamp, every detail
Your agent can reach any endpoint with no limits
Locked down to only approved Hugging Face endpoints — nothing else
Rotating a key means updating it in 5 different places
Update once in Clawctl — every agent picks it up instantly
Weeks of custom integration work
60 seconds — paste your key, click connect, done
Skip a step, leave a gap — a single leaked key costs $50,000+ in runaway compute before you even notice.
<1 min
Pick a plan. We provision a hardened OpenClaw with Hugging Face already wired in — encrypted credentials, egress controls, and a full audit trail from day one.
No DIY Hugging Face security. No leaked keys. No gaps to exploit. Same agent, actually safe.
If any of these sound like you, this integration was made for your workflow.
Teams Building AI-Powered Products
“You want to ship Hugging Face automations fast, but building secure integrations from scratch takes weeks”
Go from idea to working Hugging Face automation in minutes. Focus on what your product does, not on plumbing.
Leaders Who Care About Security
“Your team needs Hugging Face access in their AI workflows, but you can't afford a credential leak”
Give your team the Hugging Face + AI combo they want — with the security controls you need to sleep at night
Solo Founders & Small Teams
“You're wearing every hat and don't have time to build custom Hugging Face integrations”
Get enterprise-grade Hugging Face integration without an enterprise-grade engineering team. 60 seconds and you're live.
Your HF token encrypted at rest with AES-256-GCM — not base64-encoded, actually encrypted
Network egress locked to huggingface.co and api-inference.huggingface.co — your agent can't call anywhere else
Full audit trail with timestamps, session IDs, and operation details for every Hugging Face API call
One-click disconnect — cut access instantly if something goes wrong
Zero DevOps — no Docker compose files, no nginx proxy, no secrets manager to babysit
Automatic credential propagation — update your token once, Clawctl handles the rest
Every day you spend manually handling Hugging Face tasks is a day your competitors are automating theirs. The Clawctl Hugging Face integration takes 60 seconds to set up and costs $49/month. That's less than an hour of developer time — and it replaces weeks of custom work. Your credentials stay encrypted. Every action is logged. And your AI agent gets the Hugging Face access it needs to actually be useful. Stop doing it the hard way.
60 seconds to set up. $49/month. No contracts. Cancel anytime. Your Hugging Face integration goes live the moment you click connect.
A .env file is plaintext on disk. Anyone with server access can read it. Clawctl encrypts every credential with AES-256-GCM before storage, restricts network egress to only approved Hugging Face endpoints, and logs every API call. You get actual security, not security theater.
The full surface. Models, datasets, Spaces, and Inference Endpoints. Egress is whitelisted for both huggingface.co and api-inference.huggingface.co so your agent can hit any HF API.
Under a minute. Generate your access token at huggingface.co/settings/tokens, paste it into Clawctl, click connect. Your agent calls Hugging Face immediately. No YAML files, no Docker config, no infrastructure to manage.
One click. Hit disconnect in the Clawctl dashboard and your agent loses Hugging Face access instantly. No hunting through config files, no redeploying containers, no wondering if you missed one.
Yes. Egress filtering means your agent can only reach huggingface.co and api-inference.huggingface.co. It cannot make calls to any other domain. Period. Every operation is logged with timestamps and session IDs.