LemonAI is an open-source full-stack framework for building autonomous AI agents capable of performing complex tasks such as research, programming, data analysis, and document processing. The platform is designed to run primarily on local infrastructure, providing a privacy-focused alternative to cloud-dependent agent platforms. It integrates with local large language models through tools such as Ollama, vLLM, and other model runtimes while also allowing optional connections to external cloud models. The system includes a multi-agent architecture that supports planning, action execution, reflection, and memory, allowing the agent to reason through tasks and refine results iteratively. A key component of the framework is a virtual machine sandbox environment that safely executes code generated by the agent without affecting the host system.
Features
- Full-stack framework for building autonomous AI agents
- Local execution using large language models through Ollama and similar runtimes
- Virtual machine sandbox for secure code generation and execution
- Planning action reflection and memory modules for multi-step reasoning
- Support for research coding data analysis and document processing tasks
- Flexible integration with both local models and cloud AI providers