Code with AI
without breaking the bank
500+ models, zero markup: frontier, open weight, or your own keys. One agent, everywhere you work, fully open source.
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Kilo Coders
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Built differently, on purpose
AI coding tools should work for you, not against you.
Agent command center
One portal for every agent
Control every agent from one place across IDEs, CLI, and cloud.
- Local and cloud agents
- Parallel isolated worktrees
- IDE and CLI sessions
Aligned pricing
Models at cost. No markup. No lock-in.
Choose the right model without markup, lock-in, or provider limits.
- Zero AI inference markup
- Bring your own keys
- Local models supported
Open source
No black boxes. Inspect everything.
Audit the prompt, context window, and decisions in MIT-licensed source.
- Fork, modify, self-host
- Prompt and context visibility
- No silent model switching
Your agents should move with your work. Start anywhere, hand off seamlessly, and keep everything in flight.
Use Kilo Everywhere
Kilo works where you work. Build alone or with your team.
Built for agentic engineering
Multiple modes, one agent
Kilo Code ships with specialized agent modes so you can switch contexts without switching tools.
- Every coding surface.
- Use the same open-source agent in VS Code, JetBrains, CLI, and cloud agents.
- Code Mode.
- Write, refactor, and ship production-ready code with an AI agent that understands your entire codebase.
- Architect Mode.
- Plan complex features and get structured guidance before writing a single line of code.
- Cloud agents and code review.
- Move from local coding to remote agents and review workflows without changing tools.
- Debug Mode.
- Identify and fix bugs fast with an agent that reads errors, traces issues, and suggests fixes.
Hosted OpenClaw
Meet KiloClaw
Kilo Code is where engineering work starts. KiloClaw is where your OpenClaw agent keeps working after the IDE closes: always-on, hosted, and connected to your channels.
- One-click deploy.
- No SSH, no Docker, no yaml files. Deploy an always-on OpenClaw agent in under 60 seconds.
- Chat where you are.
- Connect via Telegram, Discord, or Slack. Your agent keeps acting on your behalf after the IDE closes: shell commands, browser control, and more.
- Scheduled automations.
- Run scheduled tasks, cron jobs, and long-running workflows while you sleep.
- Fully managed.
- Auto-restart, monitoring, security updates, and 500+ AI models via Kilo Gateway at zero markup keep the agent ready after hours.
Stop choosing models. Start shipping.
Pick Efficient, Frontier, Balanced, or Free. Auto Model handles the routing behind the scenes, using the right model strategy for your budget and the work at hand.
Efficient
NewSession-aware routing for smarter spend, powered by live session classification.
Frontier
Routes to the latest and most capable paid models when the work needs it.
Balanced
Cost-effective paid model routing for day-to-day engineering work.
Free
Best free models available, including free and experimental options.
Recent posts
Read the latest news and updates from the Kilo Code team.
What’s new for enterprise: six things we shipped this week
During Focus Week, one group concentrated on requests from teams running Kilo at scale: better usage and spend reporting, tighter security, and clearer controls over AI use.
Arkadiy Kondrashov·
GLM-5.2’s Code Reviews Are Only as Good as Your Prompt
GLM-5.2 from Z.ai has been one of the most talked-about open-weight models since it launched, and we have made it our daily driver to see how it performs on various coding tasks.
Darko Gjorgjievski·
Announcing Kilo’s Agency Partner Program
Help your clients embrace data and AI in ways that really work
Ari Messer·
Cloud Agents Just Got a Major Upgrade
Kilo's Cloud Agents are now more personal, configurable, and connected.
Brian Turcotte·
Why Most Dependency Alerts Don’t Matter
How Kilo Security Agent uses AI reachability analysis to reduce false positives and prioritize exploitable vulnerabilities
Brendan O'Leary·
We predicted the $100k/yr-per-dev AI bill. Now the winners are routing around it.
The teams pulling ahead aren't spending the most, they're routing each task to the right model.
Job Rietbergen·


