Local AI. No cloud required.
Run models on your hardware. Keep your data on your machine. Ship faster.
Built for people who actually run inference.
Configuration
Live Metrics
Runroom is a local-first AI workspace. Models, agents, and workflows run entirely on your machine. No API calls. No cloud sync. No vendor lock-in.
It's built for developers, ML engineers, and researchers who want full control over their inference stack. If you've ever waited for rate limits, wondered where your prompts go, or fought with fragmented tooling—this is the fix.
I built Runroom because I was tired of duct-taping together cloud APIs, losing context between tools, and having no visibility into what my models were actually doing. This is the workspace I wanted.
— Founder
Why local?
Cloud AI is convenient until it isn't. Rate limits hit at the worst time. Your data leaves your machine. You can't see what's happening under the hood. Local inference fixes all of that.
Zero latency
No network roundtrip. Inference happens on your GPU, not someone else's datacenter.
Your data stays yours
Nothing leaves your machine. No telemetry. No logging. No trust required.
Full transparency
See every token. Inspect every output. Tune every parameter. No black boxes.
What you can do
- Import and run .rrf model containers with one click
- Tune temperature, context length, and sampling parameters per-session
- Inspect token-level outputs and attention patterns
- Chain agents into multi-step workflows
- Run everything offline—no internet required
- Monitor CPU, RAM, and tokens/sec in real time
One-click model launch
Pick a model. Hit start. Watch it load. No config files, no terminal commands, no waiting for API keys.
Model launcher panel
Llama 3.2 3B
Ready
.rrf files: portable AI stacks
Model weights, inference settings, system prompts—all in one file. Share it. Version it. Run it anywhere Runroom runs.
Stack import UI
Drop .rrf file here
Live metrics, no guessing
CPU, RAM, tokens per second—all visible while the model runs. See bottlenecks before they become problems.
Performance monitor
Ship with local AI
Early access opens soon. Join the list to get build updates and first dibs on the private beta.