# Eigent — Local Cowork Desktop for AI Agents

> Eigent is an open-source cowork desktop for running multi-agent workflows locally. Use it to delegate research, planning, and execution with replays.

## Install

Save as a script file and run:

## Quick Use

1. Install / run:
   ```bash
   python3 -m webbrowser 'https://www.eigent.ai/download'
   ```
2. Start / smoke test:
   ```bash
   python3 -m webbrowser 'https://www.eigent.ai/download?share_token='  # see README for replay links
   ```
3. Verify:
   - Run one small workflow end-to-end and confirm you can replay the run and extract the key outputs you care about.

## Intro

Eigent is an open-source cowork desktop for running multi-agent workflows locally. Use it to delegate research, planning, and execution with replays.

- **Best for:** People who want a local, app-like “cowork” experience to run agent workflows and replay executions
- **Works with:** Local desktop workflows; see repo README for official site and docs links
- **Setup time:** 10 minutes

## How to Use It Well

- Setup time ~10 minutes (download app + run one replay/workflow)
- The README contains multiple “Replay” examples (links) you can use as a baseline
- GitHub stars + forks (verified): see Source & Thanks

Use it as a “workflow runner with replay”: keep tasks small, require artifacts, and build a habit of replaying runs to spot brittle steps. Over time, turn the most valuable replays into reusable templates.

### FAQ

**Q: Is it cloud or local?**
A: The repo describes a local cowork desktop experience; check the official docs linked in the README for architecture details.

**Q: Do I need to code to use it?**
A: You can start from provided replays/examples, then customize workflows as your needs grow.

**Q: How do I evaluate quality?**
A: Prefer runs that leave auditable artifacts: inputs, outputs, logs, and a replay you can share with teammates.

## Source & Thanks

> Source: https://github.com/eigent-ai/eigent
> License: Apache-2.0
> GitHub stars: 13,971 · forks: 1,649

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## 快速使用

1. 安装 / 运行：
   ```bash
   python3 -m webbrowser 'https://www.eigent.ai/download'
   ```
2. 启动 / 冒烟测试：
   ```bash
   python3 -m webbrowser 'https://www.eigent.ai/download?share_token='  # see README for replay links
   ```
3. 验证：
   - Run one small workflow end-to-end and confirm you can replay the run and extract the key outputs you care about.

## 简介

Eigent 是开源的本地 Cowork 协作桌面，围绕多 agent 工作流与可回放执行记录设计。适合把研究/计划/执行拆成可复用 run，并在每次迭代留下证据与复盘材料，降低反复指导成本。

- **适合谁：** 希望用本地桌面应用方式运行多 agent 工作流，并能回放/复盘执行过程的用户
- **可搭配：** 本地桌面工作流；官方站点与文档链接见仓库 README
- **准备时间：** 10 分钟

## 实战建议

- 上手约 10 分钟（下载应用 + 跑通一个 workflow / replay）
- README 提供了多条可回放示例链接，可作为上手基线
- GitHub stars + forks（已核验）：见「来源与感谢」

把它当“可回放的 workflow runner”：先从小任务开始，要求产出可验证的 artifacts，并养成回放复盘的习惯，找出脆弱步骤；再把最有价值的 run 固化成可复用模板。

### FAQ

**它是云端还是本地？**
A: 仓库描述是本地 Cowork 桌面体验；架构细节以 README 链接的官方文档为准。

**一定要写代码才能用吗？**
A: 不一定。可以先从现成 replay/示例上手，再逐步按需定制。

**怎么判断跑得好不好？**
A: 优先选择能留下可审计证据的 run：输入、输出、日志与可分享的 replay。

## 来源与感谢

> Source: https://github.com/eigent-ai/eigent
> License: Apache-2.0
> GitHub stars: 13,971 · forks: 1,649


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Source: https://tokrepo.com/en/workflows/eigent-local-cowork-desktop-for-ai-agents
Author: AI Open Source