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Kilo-Org/kilocode

★ 27,539 · TypeScript · MIT · updated Oct 2026

Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.

Kilo Code is an open-source AI coding agent available as a VS Code extension, JetBrains plugin, and standalone CLI, forked from OpenCode and built around letting you pick any of 500+ models at provider pricing with no markup. It's aimed at developers who want an agentic coding assistant without being locked into one vendor's model or pricing, including unattended use in CI/CD via a `--auto` flag.

No API key markup and mid-task model switching is a real differentiator against most agent tools that either lock you to one provider or add a margin on top of usage. Shipping the same agent across VS Code, JetBrains, and CLI from one codebase is a meaningfully harder distribution problem than most competitors bother solving. The repo shows actual engineering discipline — changesets per PR, CodeQL scanning, automated docs-sync workflows — rather than a thin wrapper thrown together quickly. The agent/marketplace model (Code, Plan, Ask, Debug plus installable custom agents, skills, MCP servers) gives you a real extension point instead of one fixed prompt.

It's a fork of OpenCode adapted to the Kilo platform, and the repo has dedicated skills for 'upstream-merge' and 'review-upstream-merge' — that's a strong signal that tracking upstream is an ongoing maintenance cost, and it's unclear how much drift there already is. The `--auto` CI/CD mode is described in one line ('auto-approves unless a rule denies') with no detail in the README on how the permission/sandbox rules are actually authored or audited, which matters a lot once you're letting it run commands unattended in a pipeline. There's no mention anywhere in the README of what gets sent to Kilo's own backend versus the model provider directly, which is a real question when you're routing code through a third-party platform to reach 500+ providers. The monorepo is large and cross-cutting (three IDE surfaces, a CLI, codemode, generated API clients, 20+ translated READMEs) — contributing a small fix means learning a lot more surface area than a single-platform extension would require.

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