Agent Workspace by lyfX.ai
A control center
for AI agents that actually do the work.Ich bin ein bisschen verwirrt. Sie haben nur ein Span-Tag gesendet, das wahrscheinlich aus einer HTML-Datei stammt. Normalerweise erwarte ich einen kompletten Satz oder eine Frage, die ich übersetzen kann.
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A persistent workspace where specialist AI agents run on schedule, report back to your team, and keep humans in the loop. Not another chat box. We deploy it, customize it to your operations, and train your team to own it.
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.
A real workspace for AI agents
Agent Workspace is a Django-based platform where a coordinator agent reads a briefing, dispatches specialist agents to do the actual work, and coordinates with your team in real time on a shared message board. Every run is logged, every output is searchable, every schedule lives in one place.
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.
Briefings, not prompts
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.
Schedules that just run
“Every Monday at 9am.” “Twice a month on the 1st and 15th.” Natural language schedules become real cron jobs. Missed runs catch up automatically.
Humans in the loop
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.
Audit trail by default
Every briefing, every run, every report is stored in PostgreSQL. Search history, compare runs, see what each agent did and why — months later.
What we do for you
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. Discovery
A few short conversations with the people doing the work today. We map the recurring tasks, the tools involved, and where the friction lives. By the end, you have a shortlist of workflows that pay back the fastest.
2. Deploy
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. Customize
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. Handoff (or run it for you)
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.
Built on our open-source platform
Agent Workspace runs on FuzzyClaw, 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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