Eigent

Eigent packages an AI workforce into a desktop application, where agents build, manage and run the multi-step workflows you would otherwise walk through by hand. It removes the gap between talking to a single model and having work actually carried out on your machine.

The app is built on CAMEL-AI's multi-agent framework, with a FastAPI backend and an Electron and React front end. You start with one focused agent for direct tasks, or scale to a workforce of specialised agents that divide the job and execute in parallel.

The feature set suits people who want agents close to their files rather than in someone else's cloud.

• Local deployment: a standalone mode with a local backend and local inference through vLLM, Ollama or LM Studio.
• Model agnostic: connect cloud APIs, enterprise gateways or local models without committing to one vendor.
• MCP integration: agents pick up tools through MCP servers, alongside built-in browser and terminal toolkits.
• Automation: recurring workflows run on a schedule, so tasks continue when you step away.
• Enterprise options: SSO, access control and custom development for organizations that ask for them.

The cloud-connected quick start needs Node.js 18 to 22 and npm, and it registers an account against Eigent's services. A separate guide covers the fully standalone local install, and a managed cloud version exists for teams that prefer to host nothing at all.