AI-Powered Workspace with Autonomous Agents

Bud Studio is an AI-powered desktop workspace featuring autonomous agents that can think, plan, and execute complex tasks on your behalf. Built on a foundation of enterprise search and knowledge management, Bud Studio combines powerful AI capabilities with deep integration into your company's data and tools.

At its core is Bud Agent - an autonomous AI assistant that can access your local files, execute code, search the web, connect to your company's knowledge sources, and coordinate multi-step workflows, all while running securely in your desktop environment.

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Key Features

Autonomous AI Agent

• Local File Access: Read, write, and edit files on your machine without uploads
• Code Execution: Run commands locally (bash, python, npm, etc.) with proper sandboxing
• Multi-Step Planning: Break down complex tasks and execute them autonomously
• Tool Coordination: Use multiple tools in sequence to accomplish goals
• Memory & Context: Remember past conversations and maintain context across sessions

Intelligence & Search

• Web Search: Browse the web with Google PSE, Exa, Serper, or in-house scraper
• RAG (Retrieval-Augmented Generation): Hybrid search with knowledge graphs for uploaded files
• Deep Research: Multi-step agentic search for comprehensive answers
• Semantic Search: Enterprise-grade search across millions of documents

Workspace Management

• Workspace Isolation: Each project gets its own secure workspace
• File Browser: Visual file tree for easy navigation
• Cron Jobs: Schedule recurring agent tasks
• Inbox System: Agent-managed notification and task queue

Integrations

• 40+ Connectors: Pull knowledge from Slack, Notion, Google Drive, GitHub, and more
• MCP Protocol: Extend capabilities with Model Context Protocol servers
• Actions: Give AI agents ability to interact with external systems
• OAuth Support: Secure authentication for third-party services

Collaboration

• Chat Sharing: Share conversations with team members
• User Management: Role-based access control (basic, curator, admin)
• Usage Analytics: Track agent usage and performance
• Feedback Gathering: Collect feedback on agent responses

Bud Studio works with all major LLM providers (OpenAI, Anthropic, Gemini, etc.) and self-hosted models (Ollama, vLLM, etc.)

To learn more about the features, check out our documentation!

Desktop App

Bud Studio is available as a native desktop application built with Tauri, providing:

• Native Performance: Lightweight (~10MB) Rust-based desktop app
• Embedded Frontend: Next.js UI runs locally within the app
• Keyboard Shortcuts: Full keyboard navigation and shortcuts
• System Integration: Menu bar, system tray, and native dialogs
• Multi-Window: Open multiple Bud Studio windows
• Configurable Backend: Connect to local or remote backend servers

Download: Coming soon for macOS, Windows, and Linux

Deployment

Bud Studio supports deployments in Docker, Kubernetes, Terraform, along with guides for major cloud providers.

See guides below:

• Docker or Quickstart (best for most users)
• Kubernetes (best for large teams)
• Terraform (best for teams already using Terraform)
• Cloud-specific guides (best if specifically using AWS EKS, Azure VMs, etc.)

Enterprise Features

Bud Studio is built for teams of all sizes, from individual users to the largest global enterprises.

• Enterprise Search: Custom indexing and retrieval that remains performant and accurate for scales of up to tens of millions of documents
• Security: SSO (OIDC/SAML/OAuth2), RBAC, encryption of credentials, audit logs
• Management UI: Different user roles such as basic, curator, and admin
• Document Permissioning: Mirrors user access from external apps for RAG use cases
• Agent Governance: Control what tools agents can use and monitor their actions
• Multi-Tenancy: Isolated workspaces for different teams or customers

Contributing

Looking to contribute? Please check out the Contribution Guide for more details.