- Developers who want maximum model choice with zero-markup pricing
- Teams that need VS Code, JetBrains, and CLI support from one tool
- Engineers who want cloud-hosted agent deployment alongside IDE integration
cat README.md
Kilo Code
Open-source AI coding agent for VS Code, JetBrains, and CLI with 500+ models, specialized modes, and cloud agent deployment.
brew install kilo-org/tap/kilokilo-code --helpWaiting for input...What makes Kilo Code different
500+ models at zero markup
Access over 500 models through the Kilo Gateway at exact provider rates with no markup.
Model choice without price inflation means developers can use the best model for each task without paying a premium.Multi-surface coverage
Works in VS Code, JetBrains, CLI, Slack, and Cloud — with session sync across all surfaces.
Start a task on your phone, refine in the CLI, and finish in your IDE — all from the same agent session.Specialized agent modes
Code, Architect, Debug, and Ask modes — each with tailored instructions and tool permissions.
Different tasks need different agent behaviors. Mode switching keeps the agent focused and efficient.Cloud agent deployment
KiloClaw lets you deploy OpenClaw-compatible agents to the cloud with one click — no SSH, Docker, or YAML required.
Teams can run 24/7 agents without managing infrastructure, with auto-restart, monitoring, and security updates included.Your first command
brew install kilo-org/tap/kiloReady. Run --help to explore.How developers use Kilo Code
Multi-model experimentation
Switch between 500+ models to find the best performer for your specific codebase and tasks.
Cross-platform development
Use Kilo Code in VS Code for frontend work, JetBrains for backend, and CLI for DevOps tasks — all with consistent behavior.
Automated code review in CI
Set up AI-powered code reviews that run automatically on pull requests, with configurable rules and model selection.
How Kilo Code compares
Kilo Code offers 500+ models, JetBrains support, and cloud agent deployment. Cline has a larger community and more mature ecosystem.
Questions
Q: What should I check before using Kilo Code?
Start with one safe workflow for Kilo Code. Inspect official setup instructions, required credentials, execution logs, approval points, and failure recovery before expanding from a sandbox task into production automation.
Q: Is Kilo Code open source?
Kilo Code is listed with Apache-2.0 based on the official source links in this profile. The core VS Code extension is open source.
Q: What models does Kilo Code support?
Kilo Code supports 500+ models through the Kilo Gateway, including Claude, GPT, Gemini, DeepSeek, local Ollama models, and more.
Should you use Kilo Code?
- Users who prefer lightweight, single-purpose terminal agents
- Teams that are satisfied with simpler, more established coding agents
- Verified 2026-06-04
- License: Apache-2.0
- Repo: Kilo-Org/kilocode
- Open-source signal
cloud
shell/files, external services
MCP
Structured decision data for Kilo Code
This packet is the compact machine-readable view agents should use before following source links or taking action.
mcp, workflow orchestration
open source, mcp compatible
cloud
shell/files, external services
Coding agent workflow, Connector or protocol layer
What Kilo Code does
What it is
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, CLI, Slack, and Cloud. It features 500+ models with zero markup, specialized agent modes, AI code review, and one-click cloud agent deployment.
Why it matters
Kilo Code's all-in-one approach addresses a fragmentation problem in the coding agent space — developers currently need different tools for terminal, IDE, code review, and cloud automation. Kilo Code aims to be the single platform for all of these workflows.
How to evaluate it
Start with one safe workflow for Kilo Code. Inspect official setup instructions, required credentials, execution logs, approval points, and failure recovery before expanding from a sandbox task into production automation.
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Where Kilo Code fits in an agent stack
Coding agent workflow
Kilo Code has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Connector or protocol layer
Kilo Code has multiple signals for connector or protocol layer, including matching tags, capabilities, category, or positioning.
- Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Reusable skill workflow
Kilo Code has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Browser automation
Kilo Code is not primarily positioned for browser automation in the current metadata.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Evaluation and observability
Kilo Code is not primarily positioned for evaluation and observability in the current metadata.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Local or private AI stack
Kilo Code is not primarily positioned for local or private ai stack in the current metadata.
- Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Tool schemas, API requests, service resources, and auth scopes
- Prompts, messages, documents, images, or model inputs
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- A decision on whether this resource fits the target workflow
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
Repository source for code, license, issues, releases, and implementation details.
Homepage homepageOfficial or project-controlled source for this resource profile.
Docs docsDocumentation source for setup, API shape, and operational behavior.
Kilo Code is listed as open source.
License metadata: Apache-2.0Kilo Code has a recorded GitHub repository: Kilo-Org/kilocode.
Resource facts and GitHub source link.Kilo Code supports these recorded deployment modes: cloud.
OpenAgent decision signal metadata.Kilo Code is tagged with mcp, workflow orchestration capabilities.
OpenAgent capability taxonomy.- Repository freshness has not been recorded.
How to start evaluating Kilo Code
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open sourceOpen Homepage
Start from the official source before adopting third-party instructions.
Open sourceRead setup docs
Use docs as the source of truth for installation and supported interfaces.
Open sourceInstall Kilo Code CLI
Install via Homebrew, then run 'kilo' in any project directory. Also available as a VS Code and JetBrains extension.
brew install kilo-org/tap/kilo Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
Common questions about Kilo Code
What should I check before using Kilo Code?
Start with one safe workflow for Kilo Code. Inspect official setup instructions, required credentials, execution logs, approval points, and failure recovery before expanding from a sandbox task into production automation.
Is Kilo Code open source?
Kilo Code is listed with Apache-2.0 based on the official source links in this profile. The core VS Code extension is open source.
What models does Kilo Code support?
Kilo Code supports 500+ models through the Kilo Gateway, including Claude, GPT, Gemini, DeepSeek, local Ollama models, and more.