Monkeycode
AI 开发平台，内置云端开发环境，并支持业内最全的顶尖大模型。无论是开发项目、做调研、写文档，还是分析数据、处理任务，打开浏览器就能随时开始，让 AI 持续帮你推进工作
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What is Monkeycode?
MonkeyCode is an enterprise-grade AI programming assistant developed by Chaitin Technology (长亭科技), designed specifically for R&D collaboration and R&D management scenarios. It is not just a simple AI coding tool but a comprehensive AI R&D infrastructure that covers the entire development workflow from requirements → design → development → code review. The platform enables AI to write code following specifications, facilitate team collaboration, and ensure code security and reliability.
Key features include Specification-Driven Development (SDD) mode that forces AI to break down requirements and create technical plans before coding, multi-model compatibility supporting OpenAI Codex, Claude Code, DeepSeek, Qwen, Kimi, GLM, and local models, deep Git integration with GitHub/GitLab/Gitea/Gitee for PR/Issue interactions, and a unique local development machine + cloud control architecture with isolated VMs for safe execution. The platform also includes enterprise-level management panels for auditing AI programming behavior, unified model quota management, and integrated code security scanning.
MonkeyCode is ideal for professional development teams, enterprises with strict data privacy requirements (supports private deployment and offline operation), individual developers learning new technologies, and organizations wanting to integrate AI into standardized R&D workflows. It supports both online usage via @monkeycode-ai in Git repositories and offline private deployment for maximum security.
Monkeycode pricing
Pricing model: Freemium
MonkeyCode offers free online usage - no registration or installation required for basic use via @monkeycode-ai in Git repositories. New users registering on the official website receive compute credits for experiencing core features. The tool is open source under AGPL-3.0 license and can be freely used, modified, and distributed following the open source terms. Private deployment is supported for enterprises. Specific paid plan details and pricing tiers are not prominently disclosed on public documentation.
Monkeycode pros
- Free online usage without registration or installation
- Supports private deployment for complete offline operation
- Integrates with multiple AI models (GPT, Claude, DeepSeek, GLM, Qwen, Kimi)
- Deep Git integration - use via PR/Issue comments with @monkeycode-ai
- AI responds within 30 seconds in repository comments
- Specification-Driven Development (SDD) ensures AI follows standards
- Isolated VM environment prevents damage to local development setup
- Multiple AI tasks can run in parallel simultaneously
- Enterprise-level management panel for AI behavior auditing
- Built-in code security scanning for vulnerabilities
- Supports local large language models
- IDE plugin for conversational programming like Cursor
- Smart code completion in IDE
- Mobile and tablet access for remote development
- Open source under AGPL-3.0 license
- 1.9k GitHub stars with active community
- No complex configuration needed for basic usage
Monkeycode cons
- VSCode plugin does not support online usage
- Limited by compute credits/quotas for free tier
- Complex requirements still require manual intervention
- AI cannot fully replace developer professional judgment
- Users must verify and test AI-generated code
- Context understanding varies across different models
- Human must lead overall architecture design in complex projects
- Not ideal for users seeking complete automation replacement
Frequently asked questions about Monkeycode
What is MonkeyCode and what does it do?
MonkeyCode is an enterprise-grade AI programming assistant developed by Chaitin Technology, designed for R&D collaboration and management scenarios. It covers the entire development workflow from requirements to code review, enabling AI to write code following specifications, facilitate team collaboration, and ensure security. It integrates with Git platforms, supports multiple AI models, and provides isolated cloud development environments.
How do I start using MonkeyCode online?
Simply go to any code repository's PR or Issue comment section on GitHub/GitLab/Gitee/Gitea, mention @monkeycode-ai, and describe your requirement. The AI engineer will respond within 30 seconds. No configuration is needed - just describe your need and get help with code generation, optimization, or review.
Can MonkeyCode work with internal network code repositories?
Yes, MonkeyCode supports private deployment and can integrate with private GitLab environments. Code runs in the developer's local or private environment, with cloud主要负责 scheduling and interaction. This is suitable for teams with network environment or data compliance requirements.
How do I get a MonkeyCode invite code?
New users can register on the official website (monkeycode-ai.com) and receive compute credits for experiencing core features. For online usage via Git repositories, no invite code is needed - just mention @monkeycode-ai in PR/Issue comments.
Does MonkeyCode support enterprise private deployment?
Yes, MonkeyCode supports one-click installation to private environments and fully offline operation. This ensures code privacy and is suitable for organizations with strict data privacy or security requirements like finance and healthcare industries.
Which AI large models does MonkeyCode support?
MonkeyCode supports OpenAI Codex, Claude Code, OpenCode, and domestic models including DeepSeek, Qwen, Kimi, GLM, and Doubao. It also supports locally deployed models. GLM 4.7 can be used infinitely. Multiple CLI tools like cursor-agent, codex, claude, genimi, qwen, codebuddy are integrated and swappable.
Can MonkeyCode completely replace developers?
No. MonkeyCode provides auxiliary support, but core design, decisions, and code responsibility still rest with developers. AI output serves as reference, and developers must adjust and test based on actual project requirements. It's designed as an assistant, not a replacement.
Does MonkeyCode support private code repositories?
Yes, it supports private repositories and can integrate with privatized GitLab environments. For online usage, it works with any repository where you can comment. For private deployment, all code and interaction data are stored in the enterprise intranet.
Is complex configuration needed to use MonkeyCode?
Overall it's out-of-the-box. For basic online usage via Git comments, no configuration is needed. For private deployment or complex projects, basic configuration may be required. The VSCode plugin installation is straightforward for offline use.
Is MonkeyCode suitable for individual developers?
Yes, especially for learning and small projects. Individual developers can use it to learn new frameworks or languages through natural language questions, get example code or explanations, and complete tasks without configuring local development environments.