
Claude Cowork
Desktop AI coworker that operates on your files to handle multi-step tasks.

Build, manage, and run custom AI agent workforces locally
Eigent is a desktop application that enables you to create, orchestrate, and run a customizable AI workforce locally, offering multi-agent parallelism, model flexibility, and enterprise-grade security without cloud dependencies.

Eigent targets developers, product teams, and enterprises that need on-premise AI automation while retaining full data sovereignty. By providing a visual desktop environment, it lowers the barrier for non-technical users to assemble AI agents for complex workflows.
The platform orchestrates a Multi-Agent Workforce that breaks tasks into parallel subtasks handled by specialized agents (code, browsing, document, multi-modal). It supports any local model via vLLM, Ollama, LM Studio, etc., and integrates with the Model Context Protocol (MCP) to attach tools such as Notion, Google Suite, or custom APIs. When uncertainty arises, a Human-in-the-Loop prompt ensures safe completion.
Eigent can be deployed entirely locally with zero-setup scripts, giving you complete isolation from cloud services. For faster trials, a cloud-connected mode is available, and enterprises can opt for a managed version with SSO, access control, and SLA-backed support. All code is openly available for inspection and extension.
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Eigent runs on major desktop platforms that support Node.js and Python, such as Windows, macOS, and Linux.
Yes, you can integrate any locally hosted model compatible with vLLM, Ollama, LM Studio, or similar runtimes.
A managed cloud platform is offered for teams that prefer no-setup infrastructure, separate from the local deployment option.
When an agent encounters uncertainty, Eigent pauses the workflow and prompts the user for clarification before proceeding.
Eigent is released under an open-source license; see the repository's LICENSE file for the exact terms.
Project at a glance
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