Cette page est affichée en anglais. Une traduction française est en cours.
ScriptsMay 11, 2026·2 min de lecture

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.

AI Open Source
AI Open Source · Community
Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Stage only · 29/100Stage only
Surface agent
Tout agent MCP/CLI
Type
Script
Installation
Single
Confiance
Confiance : Established
Point d'entrée
README.md
Commande CLI universelle
npx tokrepo install df030664-12c6-4393-afa0-1c7604c6ef75
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

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 et remerciements

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

Fil de discussion

Connectez-vous pour rejoindre la discussion.
Aucun commentaire pour l'instant. Soyez le premier à partager votre avis.

Actifs similaires

AionUi — Local Cowork App for CLI Agents

AionUi is a local open-source cowork app with a built-in agent engine and CLI integrations (Claude Code, Gemini CLI), installable via Homebrew.

Skills
Skill Factory

Refact — Local-First AI Coding Assistant

Refact is an open-source, local-first AI coding assistant: install the IDE plugin, run local refact-lsp, and connect a model provider.

Scripts
AI Open Source

Open Design — Local-First Claude Design Alternative

Open Design is a local-first, open-source Claude Design alternative; README offers a desktop app, Docker quickstart, and pnpm tools-dev source run.

Scripts
AI Open Source

Claudable — Web Builder Powered by Local CLI Agents

Claudable is an open-source web builder that leverages local CLI agents (Claude Code, Codex, Gemini) with a repo-first quick start (3,951★).

Workflows
AI Open Source
◈Accueil🔍Rechercher👤Moi