deepbot (kevinluosl/deepbot) is an open-source AI project on GitHub. Repository summary: DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration. Its focus includes MCP and tool-calling integration, developer-centric engineering workflows, workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
2,309
Homepage
https://glint-mvt.com/deepbot/Features
- Core capability: DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration.
- Provides MCP or tool-calling integration
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Repository: kevinluosl/deepbot
- Primary language: TypeScript
Use Cases
- Connects external systems into agent workflows
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with deepbot
- Validate deepbot in production-like engineering scenarios
- Building AI development workflows
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/kevinluosl/deepbot. Community traction is around 2,219 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, Used for cross-system process automation and operations efficiency.
