# agtOS

## Docs

- [HTTP Endpoints](https://docs.agtos.ai/api-reference/http-endpoints.md): REST API reference for health, sessions, voice, memory, entities, scheduling, workflows, chat, devices, slots, credentials, providers, models, billing, and capture
- [API Overview](https://docs.agtos.ai/api-reference/introduction.md): Three protocol interfaces for interacting with agtOS
- [MCP Tools](https://docs.agtos.ai/api-reference/mcp-tools.md): Model Context Protocol tool reference for voice, system, workflow, and scheduling integration
- [WebSocket Voice Protocol](https://docs.agtos.ai/api-reference/websocket.md): Real-time bidirectional audio streaming protocol for voice interaction with agtOS
- [Architecture Decision Records](https://docs.agtos.ai/architecture/decisions.md): 37 ADRs documenting every significant architectural choice in agtOS
- [Architecture Overview](https://docs.agtos.ai/architecture/overview.md): Dual-layer architecture, protocol abstraction, and system design of agtOS
- [Changelog](https://docs.agtos.ai/changelog.md): Notable changes to agtOS
- [Authentication](https://docs.agtos.ai/configuration/authentication.md): Configure AI provider API keys for cloud inference
- [Environment Variables](https://docs.agtos.ai/configuration/environment.md): Complete reference for all agtOS environment variables
- [Provider Configuration](https://docs.agtos.ai/configuration/providers.md): Configure Claude, OpenAI, Ollama, sherpa-onnx, speaches, and the model router
- [Chat API](https://docs.agtos.ai/features/chat.md): Text-based chat with agent reasoning, model routing, and tool execution
- [CLI Reference](https://docs.agtos.ai/features/cli.md): Complete command reference for the agtOS CLI tool
- [Web Dashboard](https://docs.agtos.ai/features/dashboard.md): Browser-based management UI for health monitoring, voice interaction, memory browsing, device management, and system configuration
- [Desktop App](https://docs.agtos.ai/features/desktop.md): Tauri 2 native desktop application with system tray, global push-to-talk hotkey, and bundled agtOS backend
- [MCP Integration](https://docs.agtos.ai/features/mcp.md): Model Context Protocol server and client — expose agtOS tools and connect to external MCP servers
- [Memory System](https://docs.agtos.ai/features/memory.md): Three-tier agent memory — working, episodic, and semantic — for personalized, context-aware interactions
- [Voice Pipeline](https://docs.agtos.ai/features/voice-pipeline.md): Real-time voice processing with in-process or server-based STT/TTS, supporting cascade, half-cascade, and native audio architectures
- [Docker Deployment](https://docs.agtos.ai/guides/docker.md): Run agtOS with Docker Compose — including Redis and optional GPU-accelerated speech
- [FAQ](https://docs.agtos.ai/guides/faq.md): Frequently asked questions about agtOS
- [Logging & Observability](https://docs.agtos.ai/guides/logging.md): Structured logging, Prometheus metrics, and health monitoring in agtOS
- [Security](https://docs.agtos.ai/guides/security.md): Authentication, encryption, rate limiting, and data privacy in agtOS
- [Troubleshooting](https://docs.agtos.ai/guides/troubleshooting.md): Common issues and solutions for agtOS setup, voice pipeline, memory, and connectivity
- [Installation](https://docs.agtos.ai/installation.md): Install agtOS on any platform — desktop app, CLI, or Docker
- [What is agtOS?](https://docs.agtos.ai/introduction.md): An introduction to the agtOS voice-native AI agent platform
- [Quickstart](https://docs.agtos.ai/quickstart.md): Get agtOS running in 5 minutes
- [Use Cases](https://docs.agtos.ai/use-cases.md): What you can build and do with agtOS