Kilo

Kilo is an innovative open-source agentic engineering platform designed to significantly accelerate the development lifecycle. It provides developers with a powerful AI coding agent that streamlines building, shipping, and iterating on software projects. Kilo aims to eliminate friction in the development process by offering a unified environment where AI agents can assist across various interfaces, from mobile to IDEs and the CLI. The platform's core mission is to empower developers to move at "Kilo Speed" by leveraging advanced AI capabilities.

The platform boasts impressive adoption, with over 1 million "Kilo Coders" and more than 20 trillion tokens processed, indicating its widespread use and robust performance. Kilo distinguishes itself by being entirely open source, allowing users to inspect, customize, and integrate its functionalities to meet specific needs. This transparency, combined with its agentic approach, ensures that developers maintain control while benefiting from AI-driven efficiency, making it a comprehensive solution for modern software development challenges.

• Sync Across Every Interface: Seamlessly continue tasks across mobile devices, VS Code, JetBrains, or the CLI, ensuring context and progress are always maintained.
• Automated Code Reviews: Utilize AI agents to analyze pull requests, suggest improvements, identify bugs, and enforce code quality standards, providing instant feedback.
• Parallel Agents: Run multiple AI agents simultaneously in the CLI or directly within your IDE to coordinate complex tasks across different parts of your codebase and accelerate development.
• Managed Indexing: Gain deep semantic understanding of your entire codebase, allowing Kilo Code to navigate, understand, and modify large projects with full context awareness without manual setup.
• Memory Bank: Enable AI agents to retain session history, active agents, variables, architectural decisions, and user preferences, eliminating the need to re-explain context.
• Tab Autocomplete: Benefit from AI-powered inline code completions and multiline suggestions directly in your IDEs (including JetBrains), understanding your codebase and coding patterns for faster coding.
• Open Model Ecosystem: Access and switch between over 500 custom, local, and frontier LLMs, allowing developers to choose the best model for specific tasks based on latency, cost, context, and reasoning.
• Automatic Failure Recovery: Kilo automatically detects errors, runs test suites, and attempts to recover from failures, reducing developer frustration and improving workflow continuity.

Target Users

• Software Developers: Individuals looking to accelerate their coding, debugging, and deployment processes with AI assistance across various environments.
• Engineering Teams: Groups aiming to standardize AI usage, improve team velocity, and centralize management of AI resources and data privacy.
• CTOs/Engineering Managers: Leaders focused on maximizing AI ROI, tracking adoption rates, and building managed indexes to speed up onboarding and capture team "superpowers."
• Open Source Contributors: Developers interested in inspecting, customizing, and contributing to an open-source AI coding agent platform.
• DevOps Engineers: Professionals seeking one-click deployment solutions and automated code reviews to streamline their CI/CD pipelines.
• AI/ML Engineers: Users who need flexibility to experiment with and integrate over 500 different LLMs into their development workflows.

Unique Selling Points

• Open Source & Customizable: The complete plugin is open-source (Apache-2.0 licensed), offering full transparency, control, and the ability to inspect, modify, and contribute to the codebase.
• Comprehensive Agentic Platform: Provides an all-in-one solution for agentic engineering, covering the entire workflow from asking questions to architecting, coding, debugging, and orchestrating tasks.
• Extensive Model Support: Offers access to over 500 models from 60+ providers, allowing users to select the optimal LLM for any task, including free, stealth, and budget models, with BYOK options.
• Seamless Cross-Platform Context: Ensures that session history, active agents, and variables persist and follow users automatically across all devices and development environments (VS Code, JetBrains, CLI, mobile).
• Transparent & Cost-Effective Pricing: Kilo Gateway offers pay-as-you-go pricing with exact list prices for major providers (Anthropic, OpenAI, Google), no commissions, and bonus credits through Kilo Pass.

Use Cases

• Rapid Feature Development: Use Orchestrator Mode to plan, build, and audit simultaneously, multiplying output and shipping new features at an accelerated pace.
• Automated Code Quality Assurance: Integrate AI-powered code reviews into pull request workflows to catch bugs, suggest improvements, and ensure adherence to coding standards before merging.
• Efficient Debugging: Employ Kilo's 'debug' mode to automatically analyze codebases, identify the source of bugs, and suggest fixes, reducing manual debugging effort.
• Onboarding New Team Members: Leverage Memory Bank to store architectural decisions and project context, automatically onboarding new developers and accelerating their ramp-up time.
• Personalized AI Development Environment: Customize Kilo with "Skills" – sharable packages of domain expertise and repeatable workflows – to tailor the AI agent to specific project needs.
• Centralized AI Management: Utilize the AI Management Dashboard to track adoption rates, measure new hire speed, and prove ROI for AI investments across an engineering organization.
• Integrating AI into Chat Platforms: Address Kilo directly in Slack to ask codebase questions, get explanations, or create pull requests via cloud agents without leaving team communication channels.

Pricing & Availability

Kilo operates on an "Open Pricing" model through its Kilo Gateway, emphasizing transparency and flexibility. Users can choose from over 60 providers and more than 500 models, paying the exact list price of major providers like Anthropic, OpenAI, and Google, with no commission or hidden fees. The platform uses a pay-as-you-go system, eliminating subscriptions and waste, and offers "Kilo Pass" which provides up to 50% bonus free credits on AI subscriptions. For teams and enterprises, Kilo generates revenue through specialized offerings. Users also have the flexibility to use alternative AI inference methods, including other gateways, managed services (AWS Bedrock, Azure OpenAI), free/budget models, local models (Ollama, LM Studio), and can bring their own API keys (BYOK) for any provider. The core Kilo Code plugin is open-source and available for installation in the terminal (CLI), VS Code-based IDEs, and JetBrains editors.