Features
AI snippet generation and completion
Context-aware code chats with whole codebase indexing
Real-time snippet collaboration and sharing
Local AI model support via Ollama
AI agents for automated code tasks
User and team management with roles
Usage analytics and model usage tracking
Secure, encrypted snippet storage
VS Code extension for inline AI assistance
Chrome extension for browser-based AI
Support for 100+ AI models via OpenRouter
Snippet library with AI context generation
Desktop apps for Mac and Windows
Edit tracking and version history
Third-party integrations (planned)
@ai_fn decorator for LLM-powered Python functions
@ai_classifier decorator for text classification
Structured data extraction via Pydantic models
Agent loops with tool calling and function calling
Built-in streaming (SSE) support
Async-first API for concurrent applications
Rate limiting and automatic retries
LLM response caching for performance
Concurrency control for workload management
CLI tool for monitoring and debugging
SQLite state store for persistence
OpenAI and Anthropic model support
Embeddings generation for semantic search
Local execution with no cloud dependency
Self-hosted deployable as a library
