eigent is an application that automates complex desktop workflows and tasks using a coordinated AI workforce. It enables users to build, manage, and deploy custom multi-agent teams that execute multi-step workflows with parallel execution.
Project overview
The project stands out for its dual execution modes: users can run focused tasks with a single meta agent or scale to multiple specialized agents that divide work and collaborate in parallel on complex multi-step workflows.
Project type
AI Agent
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Users who need to automate complex desktop workflows and tasks through a coordinated AI workforce with parallel execution.
Users who want the flexibility to run focused tasks with a single agent or scale to multiple specialized agents for complex multi-step workflows.
Key capabilities
Scale to multiple specialized agents that divide work, collaborate in parallel, and execute complex multi-step workflows together.
Run focused tasks with one meta agent for direct tasks like research, writing, and debugging.
An LLM is required via local inference or cloud API; the project depends on external model APIs or local model inference servers such as vLLM, Ollama, or LM Studio.
Getting started
To start from source, clone the repository, navigate to the eigent directory, install dependencies with npm install, and run the development server with npm run dev.
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