Esta página se muestra en inglés. Una traducción al español está en curso.
ScriptsMay 11, 2026·2 min de lectura

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
Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Stage only · 29/100Stage only
Superficie agent
Cualquier agent MCP/CLI
Tipo
Script
Instalación
Single
Confianza
Confianza: Established
Entrada
README.md
Comando CLI universal
npx tokrepo install df030664-12c6-4393-afa0-1c7604c6ef75
contrato de instalaciónJSON de metadataplan adaptadorcontenido raw
Introducción

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.

🙏

Fuente y agradecimientos

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

Discusión

Inicia sesión para unirte a la discusión.
Aún no hay comentarios. Sé el primero en compartir tus ideas.

Activos relacionados

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
◈Inicio🔍Buscar👤Yo