Features Overview
Kuse Cowork is a comprehensive AI agent framework designed for developers who need powerful automation with complete privacy control.
Core Features
Multi-Provider AI Support
Connect to any major AI provider or run models locally:
- Official APIs: Anthropic Claude, OpenAI GPT, Google Gemini, Minimax
- Local Inference: Ollama, LocalAI, vLLM, Text Generation Inference
- Aggregators: OpenRouter, Together AI, Groq, SiliconFlow, DeepSeek
- Custom Endpoints: Any OpenAI-compatible API
Autonomous Agent System
An intelligent agent that can plan and execute complex tasks:
- Automatic Planning: Analyzes tasks and creates step-by-step plans
- Tool Orchestration: Uses the right tools for each step
- Progress Tracking: Real-time visibility into execution status
- Context Awareness: Maintains context across conversation turns
Comprehensive Tool Suite
Built-in tools for common development tasks:
| Tool | Description |
|---|---|
read_file | Read file contents |
write_file | Create or overwrite files |
edit_file | Make targeted edits |
bash | Execute shell commands |
glob | Find files by pattern |
grep | Search file contents |
list_dir | List directory contents |
docker_run | Run containers |
Extensible Skills System
Extend agent capabilities with skills:
- Built-in Skills: PDF, DOCX, XLSX, PPTX processing
- Custom Skills: Create your own skills with simple YAML/Markdown
- Auto-mounting: Skills available in Docker containers at
/skills - Script Execution: Python, Node.js, and other runtime support
MCP Protocol Support
Connect external tools and services:
- Dynamic Tools: Discover and use tools from MCP servers
- OAuth Support: Secure authentication with external services
- Real-time Status: Monitor server connections
- Error Handling: Graceful fallbacks and retries
Security Features
Local-First Architecture
All data stays on your machine:
- SQLite for local storage
- API keys stored locally only
- No telemetry or analytics
- Works offline with local models
Docker Isolation
Commands execute in isolated containers:
- Sandboxed execution environment
- Controlled filesystem access
- Resource limits and timeouts
- Clean container per execution
BYOK (Bring Your Own Key)
Complete control over your AI access:
- Use your own API keys
- Connect to your own endpoints
- Pay only for what you use
- Switch providers anytime
User Interface Features
Chat Interface
Simple conversational interaction:
- Markdown Rendering: Rich text formatting
- Code Highlighting: Syntax highlighting for 100+ languages
- Tool Toggle: Enable/disable tool access
- Message History: Persistent conversation history
Task Management
Organize complex work:
- Task Creation: Describe what you want to accomplish
- Project Context: Associate tasks with project folders
- Progress Panel: Real-time execution status
- History: Review past tasks and results
Settings Panel
Easy configuration:
- Provider Selection: Visual model picker
- Connection Testing: Verify API connectivity
- MCP Management: Add and manage MCP servers
- Docker Status: Monitor container connectivity
Integration Features
Project Integration
Work with your existing projects:
- Folder Selection: Pick any directory as workspace
- Codebase Awareness: Agent understands project structure
- File Operations: Read, write, and edit project files
- Build Integration: Run build commands and tests
IDE-like Features
Developer-focused functionality:
- Code Search: Find code with glob and grep
- File Navigation: Browse project structure
- Diff View: See changes before applying
- Error Detection: Parse and explain errors
Performance Features
Streaming Responses
Real-time output:
- Token Streaming: See responses as they generate
- Progress Events: Track tool execution
- Incremental Updates: UI updates in real-time
Efficient Execution
Optimized for developer workflows:
- Parallel Tool Calls: Execute multiple tools simultaneously
- Context Caching: Reuse relevant context
- Smart Truncation: Handle large files gracefully
Platform Support
Cross-Platform
Runs on all major operating systems:
- macOS (Intel and Apple Silicon)
- Windows 10/11
- Linux (Ubuntu, Fedora, Arch)
Native Performance
Built with Rust and Tauri:
- Small Binary: ~20MB download size
- Low Memory: Efficient resource usage
- Fast Startup: Opens in seconds
- Native Look: Follows system theme
What's Next?
Explore each feature in detail:
- AI Providers - Configure and use different AI services
- Agent System - Understand autonomous task execution
- Tools - Learn about available tools
- Skills - Extend with custom capabilities
- MCP Protocol - Connect external services