Yes, Kilo offers a freemium model with a free tier that provides access to core functionalities and AI models. It also allows for cost-effective AI inference by offering models at cost with zero markup, supporting the use of personal API keys.

What are the main features of Kilo?

Kilo's main features include multi-platform support (VS Code, JetBrains, CLI, Cloud, mobile), access to over 500 AI models, zero AI inference markup, a fully open-source core, specialized agent modes (Code, Architect, Debug, Ask, Orchestrator), hosted autonomous agents via KiloClaw, and transparent prompt and context visibility.

Kilo is suitable for individual developers and technical teams who require AI assistance for coding, planning, debugging, and automating development tasks. It is particularly beneficial for those seeking flexibility in AI model choice, multi-platform integration, and transparent control over AI workflows.

How does Kilo compare to alternatives?

Kilo differentiates itself from competitors like Cursor by being an open-source agent integrating into existing IDEs rather than a standalone AI-native IDE. Compared to GitHub Copilot, Kilo offers greater model flexibility and an open-source codebase. Unlike OpenCode, Kilo is IDE-first with more managed infrastructure, and it focuses on agentic workflows and model comparison, contrasting with Tabnine's primary focus on intelligent code completion and data privacy.

AI Tool

Kilo Review

Kilo is an open-source AI coding agent that provides multi-platform support, access to over 500 models, and cost-effective AI inference for developers.

shipped Jul 4, 2026aifreemium

aicodeimage-generation

Why it matters

1Kilo is an open-source AI coding agent with an MIT license.

2It supports over 500 AI models, including frontier and open-weight options.

3Offers multi-platform support across VS Code, JetBrains IDEs, CLI, Cloud Agents, iOS, and Android.

4Operates on a freemium pricing model with a free tier available.

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Kilo?

Kilo is an AI coding agent tool developed by Kilo (company) that enables developers and technical teams to generate, refactor, and debug code across multiple platforms. It provides access to over 500 AI models and emphasizes transparency and control over AI workflows.

features

Key Features of Kilo

Kilo offers a comprehensive suite of features designed to enhance developer productivity and provide granular control over AI-assisted coding workflows. These include multi-platform integration, a wide selection of AI models, and specialized agent modes for various development tasks.

Multi-platform support across VS Code, JetBrains IDEs, CLI, Cloud Agents, and iOS/Android mobile applications.
Access to over 500 AI models, encompassing frontier, open-weight, local, and bring-your-own-key options.
Zero AI inference markup, facilitating cost-effective AI model usage for developers.
Fully open-source core, licensed under MIT, allowing for inspection, forking, modification, and self-hosting.
Specialized agent modes including Code, Architect, Debug, Ask, and Orchestrator for targeted development tasks.
Hosted OpenClaw for one-click deployment of autonomous cloud agents with chat integration and scheduled automations.
Auto Model intelligent routing, offering strategies like Efficient, Frontier, Balanced, and Free for optimal model selection.
Prompt and context visibility, ensuring transparency in AI interactions and decision-making.
Support for AI-powered code reviews, triage agents, and auto-fixers that can open new Pull Requests.

use cases

Who Should Use Kilo?

Kilo is designed for individual developers and technical teams seeking an adaptable and transparent AI coding agent. Its capabilities cater to various stages of the software development lifecycle, from initial planning to debugging and automation.

Developers requiring AI assistance for writing, refactoring, and improving production-ready code.
Software architects and engineers needing structured guidance for planning complex features and system designs.
Debugging specialists looking for AI-powered identification and resolution of software problems.
Teams managing and comparing multiple AI models for agent workflows to optimize performance and cost.
Organizations seeking to automate development tasks and run long-running workflows via managed cloud agents like KiloClaw.

how to use

How to Use Kilo

Kilo can be integrated into existing development environments or accessed via cloud agents and mobile applications. Users typically begin by installing the Kilo Code extension in their preferred IDE or utilizing the CLI tool.

1Install the Kilo Code extension for VS Code or JetBrains IDEs, or utilize the standalone CLI tool.
2Connect to Kilo's hosted models or configure custom API keys for preferred AI models.
3Initiate an AI coding session using specialized agent modes such as Code, Architect, or Debug.
4Deploy autonomous cloud agents via KiloClaw and integrate them with communication platforms like Telegram or Discord.
5Leverage Kilo's multi-model comparison features to select optimal AI models for specific development tasks.
6Monitor and manage agent workflows and code changes through Git-based snapshots and shared sessions.

pricing

Kilo Pricing & Plans

Kilo operates on a freemium model, providing a free tier for users to access its core AI coding agent functionalities. The platform emphasizes cost-effective AI inference by offering models at cost with zero markup, allowing developers to manage expenses by using their own API keys or selecting from various hosted options. Specific pricing for advanced tiers or usage beyond the free tier is detailed on the vendor's pricing page.

Free Tier: Free access to core functionalities and AI models.

Pros

+Open-source core (MIT-licensed) provides transparency, customizability, and self-hosting options.
+Access to over 500 AI models, including frontier and open-weight options, with support for bring-your-own API keys.
+Zero AI inference markup ensures cost-effective model usage for developers.
+Extensive multi-platform support across VS Code, JetBrains IDEs, CLI, Cloud Agents, iOS, and Android.
+Specialized agent modes (Code, Architect, Debug, Orchestrator) cater to diverse development tasks and workflows.
+KiloClaw offers hosted, autonomous cloud agents for 24/7 automation and integration with communication tools.

Cons

−Some users have reported issues with the authentication setup process.
−Clearer and more detailed cost documentation for various models and usage scenarios is desired by some users.
−Requires integration into existing IDEs or environments, which may involve an initial setup phase.
−The breadth of over 500 available models might present a learning curve for optimal model selection.

Policies

Free Tier

Vendor website advertises a free tier.

Pricing Page

View Pricing→

Similar Tools

Kilo vs Competitors

Kilo differentiates itself within the AI coding agent landscape through its open-source nature, extensive model flexibility, and multi-platform support. It competes with several established and emerging tools, each with distinct approaches to AI-assisted development.

CursorOn Stork Compare

Cursor is an AI-native IDE built from scratch for agentic coding, offering frontier model access and cloud agent support.

Unlike Kilo, which is an open-source agent integrating into existing IDEs, Cursor is a standalone AI-first IDE (a fork of VS Code) that deeply embeds AI into the entire development workflow. While Kilo focuses on model flexibility and cost-effective inference across many models, Cursor integrates third-party models and its own, with a strong emphasis on autonomous agent capabilities.

GitHub CopilotOn Stork Compare

GitHub Copilot is the most widely deployed AI coding tool, offering AI-powered code completions and a growing agent layer directly integrated with GitHub.

Kilo offers more model flexibility and an open-source codebase, whereas GitHub Copilot has greater enterprise adoption and tighter integration within the GitHub ecosystem. Both offer freemium models, but Copilot's pricing is more structured around individual and business tiers with usage-based billing for advanced features.

OpenCode↗

OpenCode is a highly-starred open-source AI coding agent that is terminal-native, works across any editor, and supports a wide range of LLM providers.

Both Kilo and OpenCode are open-source AI coding agents with broad model support. Kilo is IDE-first with more agent modes and managed infrastructure, while OpenCode is terminal-native and emphasizes flexibility across editors and model providers, often being faster to set up for CLI-centric workflows.

TabnineOn Stork Compare

Tabnine is an AI code completion tool that prioritizes privacy with options for local and private cloud deployment, and offers context-aware suggestions across many languages and IDEs.

While Kilo focuses on agentic workflows and model comparison for inference, Tabnine primarily excels in intelligent code completion and generation, with a strong emphasis on data privacy and enterprise-grade security features like local AI models and custom model training. Both offer freemium models and integrate with popular IDEs.

Visit Kilo↗

Connect

⌘

GitHubgithub.com/Kilo-Org/kilocode

AI Reputation Report

Is Kilo yours?

ChatGPT, Perplexity, Gemini, Claude & Grok answer buyer questions about Kilo every day. See whether they name Kilo — or send buyers to a rival.

See what AI saysfree preview