neo (neomjs/neo) is an open-source AI project on GitHub. Repository summary: The Application Engine for the AI Era. A multi-threaded, AI-native runtime with a persistent Scene Graph, enabling AI agents to introspect and mutate the living application structure in real-time. Its focus includes MCP and tool-calling integration, developer-centric engineering workflows. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
3,186
Homepage
https://neomjs.com/Features
- Core capability: The Application Engine for the AI Era. A multi-threaded, AI-native runtime with a persistent Scene Graph, enabling AI agents to introspect and mutate the living application structure in real-time.
- Provides MCP or tool-calling integration
- Built for code generation, debugging, or engineering integration
- Repository: neomjs/neo
- Primary language: JavaScript
- Open-source license: MIT
Use Cases
- Connects external systems into agent workflows
- Supports AI engineering build-and-iterate workflows for dev teams
- Build internal AI workflow prototypes with neo
- Validate neo in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/neomjs/neo. Community traction is around 3,184 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Supports AI engineering build-and-iterate workflows for dev teams, Build internal AI workflow prototypes with neo.
