openagent @ kilo-code ~ $

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.

# 20K Stars · 2.6K Forks · Apache-2.0 License // verified 2026-06-04
kilo-code/main
$brew install kilo-org/tap/kilo
Installing Kilo Code...
Kilo Code ready
$kilo-code --help
Reading kilo-code configuration & environment...
# core strengths

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.
# quick start

Your first command

terminal
$brew install kilo-org/tap/kilo
# use cases

How developers use Kilo Code

01

Multi-model experimentation

Switch between 500+ models to find the best performer for your specific codebase and tasks.

02

Cross-platform development

Use Kilo Code in VS Code for frontend work, JetBrains for backend, and CLI for DevOps tasks — all with consistent behavior.

03

Automated code review in CI

Set up AI-powered code reviews that run automatically on pull requests, with configurable rules and model selection.

# comparison

How Kilo Code compares

Choose Kilo Code for model breadth and platform coverage vs Cline

Kilo Code offers 500+ models, JetBrains support, and cloud agent deployment. Cline has a larger community and more mature ecosystem.

# faq

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.

Decision brief

Should you use Kilo Code?

JSON
Best for
  • 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
Not for
  • Users who prefer lightweight, single-purpose terminal agents
  • Teams that are satisfied with simpler, more established coding agents
Trust and freshness
  • Verified 2026-06-04
  • License: Apache-2.0
  • Repo: Kilo-Org/kilocode
  • Open-source signal
Deployment

cloud

Permission surface

shell/files, external services

Decision signals

MCP

Agent packet

Structured decision data for Kilo Code

This packet is the compact machine-readable view agents should use before following source links or taking action.

Capabilities

mcp, workflow orchestration

Constraints

open source, mcp compatible

Deployment

cloud

Permission surface

shell/files, external services

Recommended workflows

Coding agent workflow, Connector or protocol layer

Overview

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.

Facts

Known metadata and operating surface

These fields are separated from editorial interpretation so agents can reason over facts and missing checks.

Resource type agent
Category Agents
Maturity active
Difficulty Unknown
License Apache-2.0
Pricing open source
Verified 2026-06-04
Source confidence high
Risk level elevated
Fit matrix

Where Kilo Code fits in an agent stack

strong

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.
strong

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.
partial

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.
weak

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.
weak

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.
weak

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.
Inputs and outputs

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
Evidence

Sources, claims, and missing checks

Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.

verified

Kilo Code is listed as open source.

License metadata: Apache-2.0
verified

Kilo Code has a recorded GitHub repository: Kilo-Org/kilocode.

Resource facts and GitHub source link.
inferred

Kilo Code supports these recorded deployment modes: cloud.

OpenAgent decision signal metadata.
inferred

Kilo Code is tagged with mcp, workflow orchestration capabilities.

OpenAgent capability taxonomy.
Missing checks
  • Repository freshness has not been recorded.
Next action

How to start evaluating Kilo Code

Inspect repository

Check license, recent activity, issues, examples, and security-sensitive code paths.

Open source

Open Homepage

Start from the official source before adopting third-party instructions.

Open source

Read setup docs

Use docs as the source of truth for installation and supported interfaces.

Open source

Install 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
Compare

Alternatives and nearby resources

Use related resources to compare category fit, license, deployment model, and first-workflow behavior.

FAQ

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.