Agent Workspace de lyfX.ai
Un centro de control
para agentes de IA que realmente hagan el trabajo.
Un espacio de trabajo persistente donde agentes de IA especializados se ejecutan según lo programado, informan a su equipo y mantienen a los humanos informados. No es otro cuadro de chat. Lo implementamos, lo personalizamos para sus operaciones y capacitamos a su equipo para que lo domine.
The work that doesn’t fit a single tool
Every mid-size company has the same kind of recurring work: monitor twenty competitor sites, summarize last week’s customer feedback, scan regulatory changes, prepare a market briefing for Monday. The work is important. It’s also fragmented across browsers, inboxes, spreadsheets, and the heads of two or three people who do it manually every week.
Single-prompt AI tools don’t solve this. They forget. They can’t run on schedule. They have no audit trail. And they can’t coordinate multiple steps where a human needs to weigh in halfway through.
Un espacio de trabajo real para agentes de IA
Agent Workspace es una plataforma basada en Django donde un agente coordinador lee una descripción general, envía agentes especialistas para realizar el trabajo real y se coordina con su equipo en tiempo real en un tablón de mensajes compartido. Cada ejecución se registra, cada salida es consultable, cada programa se encuentra en un solo lugar.
Specialists run isolated in their own containers — each one with its own tools, memory, and access scope. Use a strong model for the coordinator, cheap models for the specialists. Mix providers. Replace tools without replacing the platform.
Informes, no indicaciones
Write a markdown briefing the way you’d write instructions for a new hire. The coordinator turns it into a plan and dispatches the right specialists.
Horarios que simplemente se ejecutan
“Every Monday at 9am.” “Twice a month on the 1st and 15th.” Natural language schedules become real cron jobs. Missed runs catch up automatically.
Humanos en el bucle
Talk to agents while they’re still working. Ask the coordinator to adjust mid-run. The shared message board keeps your team in the conversation, not staring at a spinner.
Rastreo de auditoría por defecto
Every briefing, every run, every report is stored in PostgreSQL. Search history, compare runs, see what each agent did and why — months later.
Lo que hacemos por ti
You don’t buy a license. You don’t sign up for a SaaS. We work with your team to identify the workflows worth automating, deploy a private instance to your infrastructure, build the specialist agents your work actually needs, and train your team to own it.
1. Descubrimiento
Unas pocas conversaciones cortas con las personas que realizan el trabajo hoy. Mapeamos las tareas recurrentes, las herramientas involucradas y dónde residen los problemas. Al final, tendrás una lista corta de flujos de trabajo que se recuperan más rápido.
Desplegar
We stand up a private Agent Workspace instance — your VM, your cloud, or ours. PostgreSQL, message board, dashboard, scheduling, all wired up. No multi-tenant SaaS. Your data stays where you want it.
3. Personalizar
We build the specialist agents and tools your workflows need: market monitoring, document review, customer feedback synthesis, internal reporting, whatever fits. Every agent is a markdown file with a system prompt — readable, editable, versionable.
4. Traspaso (o gestionarlo por ti)
We train your team to write briefings, manage agents, and add new ones as needs evolve. From that point, you own the platform. We stay available for new agents, integrations, or scaling — but you’re not locked in. If you’d rather we keep operating it, we offer that too.
Construido sobre nuestra plataforma de código abierto
Agent Workspace funciona en GarraBorrosa, the open-source agent orchestration platform we maintain. MIT-licensed, all the code on GitHub. Inspect it, fork it, run it yourself if you’d like.
What we sell isn’t a license. It’s the experience of deploying it, the specialist agents we’ve already built and refined, and the discipline to figure out which workflows are actually worth automating before we automate them.
Let’s find the first workflow
The fastest way to know if Agent Workspace fits is a 30-minute call about one specific recurring task your team does today. No slides. We’ll tell you whether it’s worth automating before we propose anything.
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