MonkeyCode Outlines 2026 Subscription Plans, Open-Source Core, and Private Deployment Options

The flagship edition is positioned for heavy AI programming users, providing a higher daily token allowance, full access to all supported models, and upgraded cloud resources of 2 CPU cores and 8 GB memory, compared with the free tier's 1 core and 4 GB. This configuration supports frequent compilation of medium and large projects, as well as multi-model workflows such as using DeepSeek for code generation, Kimi for comments, and Qwen for test cases. The enterprise edition adds SSO single sign-on, audit logs, a 99.9% service-level agreement, and private deployment, but does not include these features in lower tiers.

MonkeyCode's core code is open-sourced under the AGPL-3.0 license, hosted on GitHub with more than 3,600 stars. The repository includes the AI coding engine, security scanning module, and basic collaboration features, while enterprise governance functions are provided through a commercial subscription layer. The AGPL-3.0 license requires that any modified version offered as a network service must disclose its source code, a point that development teams should verify with legal counsel before building commercial SaaS on top of it.

The platform supports a range of Chinese AI models, including GLM, Kimi, MiniMax, Qwen, DeepSeek, and ByteDance's Doubao, as well as international models such as GPT-5.5. Users can switch between models based on task types, and the free tier provides access to most domestic models. According to the documentation, model availability may vary by subscription plan and platform, with some recent high-end models such as DeepSeek Max and Qwen flagship versions restricted to the flagship tier.

MonkeyScan, the built-in security scanner, performs SQL injection detection and hardcoded key leakage detection in the free version. Paid plans unlock CVE vulnerability correlation, code quality scores, and structured report export. For regulated industries, private deployment keeps all code and data within the enterprise network, and the platform supports integration with LDAP, OAuth 2.0, and SAML identity providers, as well as GitLab, Jenkins, and Jira.

Mobile clients for iOS and Android are available, allowing code review, light editing, and project tracking. The mobile apps sync data with the web environment but are designed for auxiliary tasks rather than as a full development environment. Users are advised to download the apps from official app stores or the GitHub Releases page, and to verify checksums for Android APK files to avoid tampered versions. According to official materials, upgrade and downgrade paths preserve historical data, with only exclusive configuration frozen when moving to a lower plan. The documentation also advises users to evaluate their daily token consumption and model access needs before purchasing the flagship or enterprise plans.