lemonai vs open_deep_research
Self-hosted AI agent and configurable research workflow compared
lemonai is a self-hostable, full-stack agent for research, browsing, coding, and data analysis, with a Docker sandbox. open_deep_research focuses on configurable research-to-report workflows for developers, using LangGraph and interchangeable models and search tools.
lemonai: Run a Self-Hosted AI Agent with a VM Sandbox
Lemon AI is a self-hostable agent for research, browsing, coding, and data analysis, with a Docker-based VM sandbox for code execution. It supports local and cloud language models, making it useful when you want control over deployment and data.
open_deep_research: Build Configurable Deep Research Agents
A Python research agent that searches the web, synthesizes findings, and produces reports using configurable language models and search tools. It suits developers who want to customize or deploy a research workflow with LangGraph.
| lemonai | open_deep_research | |
|---|---|---|
| Language | JavaScript | Python |
| License | NOASSERTION | MIT |
| Stars | 1.6k | 12.7k |
| Forks | 321 | 1.9k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- lemonai covers browsing, coding, and data analysis as well as research; open_deep_research concentrates on gathering, synthesizing, and reporting research.
- lemonai is written in JavaScript and supports local models through Ollama and vLLM alongside cloud APIs; open_deep_research is written in Python and uses configurable chat models through LangChain.
- lemonai provides a Docker-based VM sandbox for code execution; open_deep_research offers LangGraph Studio for local testing and can be deployed on LangGraph Platform.
- lemonai is aimed at people and teams deploying a general-purpose agent; open_deep_research is aimed at developers building or evaluating research workflows.
- lemonai's repository metadata lists its license as NOASSERTION, and its README describes a custom license with additional restrictions; open_deep_research is MIT-licensed.
- lemonai is not marked archived, while open_deep_research is marked archived in the supplied repository data.
Choose lemonai if you…
- want a self-hostable agent for research, browsing, coding, and data analysis.
- need a Docker sandbox for agent-generated code execution.
- plan to use local models through Ollama or vLLM, or configure cloud APIs.
Choose open_deep_research if you…
- are building a focused research-to-report workflow with configurable models and search tools.
- want to test or deploy a research agent using LangGraph.
- need evaluation scripts for Deep Research Bench or options for MCP and native web search.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.