Ren Labs · AI workspace platform
Create projects. Deploy AI teams.
Ren Labs is the AI workspace where you spin up projects and assign autonomous agents to build, test, and ship them. Research, development, and QA agents work in parallel on the goals you set — and report back.
Workspaces & projects
Organize everything you're building. Each project keeps its own goals, memory, and context.
AI agent teams
Assign specialized agents — research, development, QA, marketing — each with a role, goal, and budget.
Reports & oversight
Agents execute continuously and report progress, so you manage outcomes instead of prompts.
What makes Ren different
Not a chatbot you prompt.
An agent that keeps working.
Most AI tools are human-in-the-loop: you ask, it answers, it stops. Ren's agents are ambient — turn one on and it runs continuously in the background, on its own review branch, until you tell it to stop.
Runs without you
Turn an agent's loop on and it keeps working on a schedule — testing, improving, shipping — even after you close the tab or shut your laptop.
Never touches your live app
Every ambient edit lands on a separate ren branch. Your production app stays untouched until you review the diff and promote it yourself.
You set the pace
A burn-rate cap — tokens per minute — throttles how fast an agent is allowed to work. Slow and cheap, or fast and thorough. Your call, per agent.
How it works
One workspace. A team of agents.
Create a project, assign agents to it, and let them execute. Ren Labs coordinates the engineering so your team manages outcomes — not prompts.
Projects & agents
Spin up a project, set its goals, and assign agents to it. Describe what you need — new features, refactors, entire products — and your agents ship reviewable work your team owns.
- ›Build a SaaS— Auth, billing, dashboard, and a multi-tenant data model — scaffolded and wired.
- ›Build a CRM— Contacts, pipeline stages, activity timelines, and reporting from one description.
- ›Build an inventory platform— Stock tracking, suppliers, purchase orders, and low-stock alerts.
- ›Build a dashboard— Data sources, charts, filters, and a clean analytics layout, ready to extend.
Developer API
InfrastructureThe engine behind the workspace, exposed for your own applications — a clean REST API with streaming, tool use, and the low latency your product demands.
How we work
A calm, research-oriented way to build software engineering AI.
Evidence over hype
We are early, and we say so. We will not publish benchmark numbers before we publish the harness that produced them. If we cannot measure a claim, we do not make it.
Understanding over autocomplete
Ren Code is built to understand a codebase — its architecture, dependencies, and conventions — before it changes anything. Correctness comes from context, not from guessing the next token.
Reliability over marketing
A confident wrong change is worse than an admitted uncertainty. We design for review: pull requests you can read, reasoning you can inspect, and control over what merges.
Honest about the stage
Ren AI is in active development, building Astra — our flagship language model — and the products powered by it. We would rather show real progress than stage a finished story. The roadmap is the product right now.
Ren Labs
Your AI workspace, working while you sleep.
Spin up a project, assign your agents, and let them execute. You manage outcomes — not prompts.