Sentinel doesn't just automate — it learns. Every task it runs, every fix it lands, every tricky issue it solves gets distilled into the Neuralis Brain — a shared memory that every agent in your fleet reads from and writes to.

The brain learns from all clients and gets better and better with every task.

• 🔁 Cross-agent memory — Sentinel Desktop, Claude Code, opencode, and every other tool in the fleet share one brain. A fix Sentinel finds on a server at 2am is knowledge Claude Code can recall at noon.
• 📈 Gets smarter over time — the more tasks it runs, the more context the brain holds. Hard-won solutions to advanced technical issues (server configs, stubborn drivers, network edge cases) are never solved twice.
• 🖥️ Built for the field — engineered for IT work on servers and workstations. Sentinel captures the goal → actions → outcome of each engagement and feeds the durable lessons back in.
• 🔌 Direct bridge — Sentinel speaks to the brain over HTTP (NEURALIS_BRAIN_URL), no extra processes. Seven operations: think, recall, search, context, opinions, fire, stats.

Status: arriving in v18.0. The bridge is the foundation — automatic recall-at-task-start and a full consolidation loop land in the phases that follow. Track progress in CLAUDE.md.

Features

• 🤖 Vision-driven agent loop — screenshots → LLM → action → verify → repeat
• 🖱️ Full desktop control — mouse, keyboard, clipboard, file I/O, multi-monitor screenshots
• 👁️ OCR-aware — click_text and read_text use Tesseract to locate and read on-screen text
• 🪟 UIAutomation — click_control / set_text / list_controls drive native Windows controls by accessibility name (the desktop analogue of CSS selectors)
• 🎯 Animated cursor overlay — glides to each action location, pulses, then fades — just like Sentinel Override's operator cursor
• 🔌 20+ LLM providers with native tool/function calling — OpenAI (ChatGPT), Anthropic (Claude), Google Gemini, xAI Grok, DeepSeek, OpenRouter, Groq, Mistral, Together, Fireworks, Cerebras, Perplexity, Z.ai (GLM-5 / coding plan), MiniMax, Moonshot (Kimi), Qwen (Alibaba), Cohere, NVIDIA NIM, HuggingFace, GitHub Models, DeepInfra, Azure OpenAI, Ollama (local), LM Studio (local), and any OpenAI-compatible custom endpoint
• 🌐 Three modes — GUI, headless API, CLI (--dry-run flag to preview without acting)
• 🔒 Safety stack — approval gate per state-changing action, Esc-x3 panic stop, sensitive-field filter, tenant lockdown, dry-run
• 🔁 Retry/backoff on transient LLM errors with friendly error messages
• 📝 Forensic logging — structured per-step audit trail with JSON/CSV export
• 💾 Checkpoint & Resume — auto-saves state every 5 steps; resume after crash or close
• ⌨️ Command palette (Ctrl+K) — fuzzy-search commands, themes, settings
• 🎨 14 themes — Midnight, Dark, Matrix, Tron, Cyberpunk, Neon, Terminal, Blood, Ocean, Light, Sunset, Paper, Forest, Mono
• 🖥️ Virtual Desktop isolation — agent operates on its own Windows desktop, never interrupts the user
• 🥷 Stealth input — PostMessage / UIAInvoke for non-interrupting actions (no mouse/keyboard hijack)
• 📡 WebSocket live feed — every step broadcast to connected clients
• 🧠 Neuralis Brain integration (v18.0) — shared, fleet-wide memory: Sentinel writes what it learns and recalls what every other agent has learned, so it gets smarter with every task

Quick Start

# Install dependencies
pip install -r requirements.txt

# Run GUI mode
python main.py

# Run headless API server
python main.py --api --port 8091

# Run single command
python main.py -c "Open Notepad and type Hello World"

# Dry-run (logs state-changing actions instead of executing them)
python main.py --dry-run -c "Open Notepad and type Hello World"

Or on Windows: double-click install_and_run.bat

Safety hotkeys

Press Esc three times within 1.5 seconds to immediately stop the agent. This works globally and is independent of pyautogui's move-to-corner failsafe. Requires the optional keyboard package (installed by default).

Testing

pip install -e ".[dev]"
pytest tests/ -q          # 7,882 tests
ruff check core/ gui/ api/ tests/   # zero lint errors

Configuration

First run opens settings. Configure:

1. Provider — Choose your LLM provider (OpenAI, Anthropic, etc.)
2. API Key — Paste your key
3. Model — Enter model name or auto-detect
4. Step Budget — Max actions per goal (default: 100)

Config stored at:

• Windows: %APPDATA%\SentinelDesktop\config.json
• Linux/Mac: ~/.sentinel-desktop/config.json

API Reference

When running in --api mode:

Examples

# Start a goal
curl -X POST http://localhost:8091/goal \
  -H "Content-Type: application/json" \
  -d '{"goal": "Open Chrome and navigate to github.com"}'

# Take a screenshot
curl http://localhost:8091/screenshot

# Execute a direct action
curl -X POST http://localhost:8091/command \
  -d '{"command": "{\"action\":\"click\",\"x\":500,\"y\":300}"}'

Supported Actions

The agent can perform these actions:

Architecture

sentinel-desktop/
├── main.py              # Entry point (GUI / API / CLI modes)
├── config.py            # Settings persistence
├── core/
│   ├── engine.py        # Agent loop (screenshot → LLM → action → verify)
│   ├── action_executor.py  # Dispatches actions to desktop control
│   ├── llm_client.py    # Multi-provider LLM client (20+ providers)
│   ├── provider_registry.py  # Provider catalog
│   ├── desktop.py       # Mouse, keyboard, screen control
│   ├── screenshot.py    # Screen capture + template matching + cache
│   ├── window_manager.py   # Window management
│   ├── process_manager.py  # Process management
│   ├── clipboard.py     # Clipboard read/write
│   ├── file_ops.py      # Safe file operations
│   ├── system_info.py   # System information
│   ├── control/         # Plan → Ground → Execute → Verify control loop
│   ├── perception/      # Multi-modal perception pipeline (accessibility + OCR + vision)
│   ├── platform/        # Cross-platform abstraction (Windows / Linux / macOS)
│   ├── swarm/           # Multi-agent orchestration (bus + registry + specialists)
│   ├── popup_handler.py # Automatic dialog detection and dismissal
│   ├── recovery.py      # Action retry and error recovery
│   ├── scheduler.py     # Cron-based task scheduling
│   ├── auth.py          # RBAC with bcrypt password hashing
│   ├── encryption.py    # Cross-platform encryption
│   └── ...              # 30+ more modules
├── api/
│   └── server.py        # FastAPI headless control server (35+ endpoints)
├── gui/
│   ├── app.py           # Main GUI window (cyberpunk HUD)
│   ├── themes.py        # 14 theme definitions
│   ├── overlay.py       # Action overlay + animated cursor
│   └── tabs/            # Settings, scripts, workflows, history tabs
├── scripts/it_support/  # 19 pre-built IT support script templates
├── tests/               # 7,882 tests, 99% coverage
└── requirements.txt

Safety

• Approval mode: Every state-changing action requires user confirmation before execution (Approve / Reject dialog in the GUI)
• Dry-run mode: --dry-run logs every action it would take without actually clicking or typing
• Esc x3 failsafe: Three rapid Esc presses stop the agent immediately, globally
• pyautogui corner failsafe: Move mouse to a screen corner to abort
• Sensitive field protection: Won't type strings that look like passwords or credentials
• Tenant lockdown: Restrict file access to tenant-scoped paths
• Step budget: Agent stops after N actions (configurable, default 100)
• Bounded conversation: Old screenshots are pruned from the LLM context so token cost stays predictable
• LLM retry/backoff: Transient 429/5xx errors retry with exponential backoff
• API auth: Set SENTINEL_API_TOKEN to require Authorization: Bearer <token> on every endpoint
• Forensic log: Every action logged with timestamp, params, and result

Companion Projects

• Neuralis Brain — Shared, fleet-wide memory that every Sentinel-family agent reads from and writes to; the brain learns from all clients and gets better with every task
• Sentinel Override — Browser automation agent (Chrome extension)
• Sentinel MCP — Model Context Protocol server

License

MIT