#1111th of 11 in Desktop AI apps
eigent
Desktop app running single agents or parallel multi-agent teams on your machine
Documentation ↗
(opens in a new tab)Website ↗
(opens in a new tab)Repository on GitHub ↗
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- Stars
- 15.5k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Last release
- Sep 2026
- Language
- TypeScript
Missed the latest GitHub check; these facts may be older.
Overview
Eigent is an Electron and React desktop app with a FastAPI backend that runs AI agents on your computer, either as one agent or as a CAMEL-based workforce of specialized agents working in parallel. Agents get built-in browser, terminal and document toolkits, plus MCP and skill integration, and workflows can be scheduled. It works with cloud APIs, gateways or local inference such as vLLM, Ollama and LM Studio.
Who it is for: Users wanting a local desktop agent workspace with multi-agent task execution
Strengths
- Single-agent mode and multi-agent workforce mode in one desktop workspace
- Built-in browser, terminal and document toolkits, with MCP and skill integration
- Local backend supports vLLM, Ollama and LM Studio, with no cloud account required
- Recurring workflows can be scheduled to run while you are away
Weaknesses
- Quick start connects to Eigent cloud services and requires account registration
- Local deployment is a separate server setup documented in another README
- SSO and access control are enterprise-only features, via sales contact
- No Docker or compose files detected; running from source needs Node 18-22 and uv
What it needs
- GPU optional
- Needs Node.js 18-22, npm, uv
- Models: vLLM, Ollama, LM Studio, cloud APIs, enterprise gateways
Also in Desktop AI apps
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|---|---|---|
| 1 | cherry-studioCross-platform desktop chat client for many cloud and local LLM providers | 79 out of 100 |
| 2 | prompt-optimizerPrompt rewriting and testing tool for web, desktop, Chrome and MCP | 79 out of 100 |
| 3 | deep-live-camReal-time webcam face swap from a single source image | 76 out of 100 |
| #4 | janDesktop app that runs local models or cloud APIs, with a local server | 71 out of 100 |
| #5 | dsh-desktopNative Windows and macOS desktop client for DeepSeek Harness | 70 out of 100 |