Plan, build, debug, review, and ship across tools of your choice. Enterprise controls govern providers, regions, and spend without disrupting how developers work.
Agentic coding tools are already inside your org. Each one picks its own model by default, and some code can't leave your environment. A policy nobody enforces isn't a policy.
The Cost of Fragmented AI Development
Disconnected coding tools create duplicate subscriptions, fragmented context and inconsistent controls. Each selects its own model and cost, limiting choice and access to frontier models.
When asked which model touched code, what it produced or what it cost, teams must reconstruct the answer.
Fragmentation makes AI development harder to govern, understand and defend.
5M+ Builders Already Trust Kilo
Extend the tools they already use: VS Code, JetBrains, CLI, Slack. The governance you set runs underneath. MIT-licensed and auditable: Don’t take our word for it — verify boundaries yourself.
Choose Models Freely, Route Automatically, and Keep Costs in Check
Set the allowlist: which models and providers are in play for your org. Within that range, engineers and the router choose freely—no one routes outside what’s approved.
Pick Efficient (smarter spend) or Frontier (most capable models) as the strategy for a team or task. Auto Model routes to the right model for the work and budget, based on your allowlist.
Plan, Build, Review, and Ship With One Open Agent Within Policy
Define your approved boundaries, give developers model choice within them, and let governance follow the agent everywhere.
Set the Terms Once
Your existing identity system: SSO, OIDC, SCIM.
Approve providers and models by country, and by whether they train on your data.
Audit logs, sub-organizations, a budget per team.
Keep work in a designated region, on approved routes.
Sandbox the agent, or run it on your own compute.
Pick Your Model
500+ models, 60+ providers, no markup: pay provider rates, or bring your own keys.
Local and offline models supported (Anaconda Desktop) for code that can’t leave a machine.
New models are usable the day they ship, once you’ve approved the provider or the model.
Build and Govern Everywhere
VS Code, JetBrains, CLI, Cloud Agents, Slack, Code Reviewer.
Session state, context and active agents sync across every surface.
Identity, model policy and auditability follow the agent.
Plan complex work, write and refactor code, debug issues and review pull requests without switching tools. Sessions, context and active agents move across IDE, CLI, and Cloud.
Developers spend less time repeating context, managing models and coordinating disconnected agents — and more time building and shipping.