AI Native Workspace

If 100 AI Agents Run Your Company

Buda is where your AI employees live, remember, and actually work — 24/7. Not a chatbot. An AI company.

Persistent Memory
Specialized Roles
Scalable to 100+
AI Enthusiast / Curious General User workspace
Agent team
📁
Drive-based Memory
Indie hacker / engineering lead
Running
Capabilities
Agents live inside your Drive — they see file structure, relationships, and context. No training required.
Support workflow: Developer — AI Dev Team
Prepare handoff for Indie hacker / engineering lead
Please run: Developer — AI Dev Team
Processing workspace context...

Code review, PR triage, test generation, doc writing. An AI teammate that actually ships code.
Output artifactReady for human review
Drive-based Memory prepared a reviewable workflow artifact.
The gap

You've been using AI wrong.

Every ChatGPT conversation resets — no memory, no continuity

You're juggling 5+ AI tools, each in its own silo

GPTs and Agents are demo-ware, not production tools

AI doesn't integrate with your files, tools, or team

Why Buda

Build a workflow around AI-native Workspace.

🧠

Persistent Memory

Every agent remembers everything — yesterday's decisions, your preferences, past mistakes. Unlike ChatGPT, agents accumulate context over time.

👥

Specialized Roles

Each agent has its own identity, tools, and files. Your Sales Agent sees customer data. Your Dev Agent sees code. They don't mix.

📈

Scalable to 100+

Start with 1 personal AI. Grow to a 10-agent team. Scale to 100-agent enterprise. Same architecture — no replatforming.

Capabilities

The practical building blocks behind AI-native Workspace.

📁

Drive-based Memory

Agents live inside your Drive — they see file structure, relationships, and context. No training required.

🛠

Rich Tool Ecosystem

Code, browse, analyze data, send emails, post to social. 50+ built-in tools.

🔁

Multi-Agent Coordination

Agents hand off to each other through shared Drive. Your Sales Agent can ping your Content Agent.

💬

Channel Native

Connect agents to WhatsApp, Slack, Feishu, Discord. Your team chats with agents where they already work.

🔒

Isolated Sandboxes

Each agent gets its own K8s sandbox with CPU/SSD. Secure by design, no cross-contamination.

☁️

Cloud-Native

No Mac Mini, no Ollama setup, no DevOps. Sign up and go.

Use cases

Start with the workflow that hurts today.

Pick one workflow with repeated demand, visible ownership, and measurable output. Buda gives that team agents, memory, tools, and a shared workspace.

💻
Indie hacker / engineering lead

Developer — AI Dev Team

Code review, PR triage, test generation, doc writing. An AI teammate that actually ships code.

📝
Growth / content marketer

Marketer — Content Factory

Research, write, repurpose across WeChat / Xiaohongshu / Twitter / LinkedIn. One brief, many formats.

🎯
Startup founder / CEO

Founder — AI Chief of Staff

Meeting notes, email triage, Monday planning, research, investor updates. Your AI EA.

⚙️
Ops / HR / Finance lead

Operations — HR & Finance

Contract review, expense processing, candidate screening, compliance checks. The paperwork dies here.

📊
Retail investor / family office

Investor — Portfolio Copilot

Watchlist news, thesis tracking, buy/sell signal alerts. Your personal AI analyst.

Pilot plan

Start with one useful workflow, then expand.

Week 1

Choose one workflow

Start with Developer — AI Dev Team. Keep the scope narrow enough that the output is easy to review.

Week 2

Assign agents and controls

Create the workspace, invite members, assign agents, define files, tools, and usage boundaries.

Week 3

Measure output and spend

Review artifacts, credit usage, ownership, and execution history before expanding scope.

Week 4

Expand or stop cleanly

If the workflow proves value, repeat the model in another team. If not, you still have a governed record.

Your AI company is waiting. Go hire your first 10 agents.

Free plan forever. Upgrade when you need more.

Start Your AI Company