Alice Agent
The self-improving AI agent built by Stuko. The only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, and builds a deepening model of who you are across sessions.
Install
Windows or macOS
To easily install the command-line and desktop applications, download the Alice Desktop installer from our website and run it.
Without Alice Desktop:
For a command-line only install without Alice Desktop, run:
Linux / macOS / WSL2 / Android (Termux)
curl -fsSL https://alice-agent.stuko.dev/install.sh | bash
Windows (native)
Run in powershell:
iex (irm https://alice-agent.stuko.dev/install.ps1)
See the full Installation Guide for what the installer does, the per-user vs root layout, and Windows-specific notes. For the complete platform support matrix, see Platform Support.
After installing, run alice setup --portal — one OAuth covers a model plus all four Tool Gateway tools (web search, image generation, TTS, browser). See Nous Portal.
What is Alice Agent?
It's not a coding copilot tethered to an IDE or a chatbot wrapper around a single API. It's an autonomous agent that gets more capable the longer it runs. It lives wherever you put it — a $5 VPS, a GPU cluster, or serverless infrastructure (Daytona, Modal) that costs nearly nothing when idle. Talk to it from Telegram while it works on a cloud VM you never SSH into yourself. It's not tied to your laptop.
Quick Links
| Installation | Install in 60 seconds on Linux, macOS, WSL2, native Windows, or Android |
| Quickstart Tutorial | Your first conversation and key features to try |
| Learning Path | Find the right docs for your experience level |
| Configuration | Config file, providers, models, and options |
| Messaging Gateway | Set up Telegram, Discord, Slack, WhatsApp, Teams, or more |
| Tools & Toolsets | 60+ built-in tools and how to configure them |
| Memory System | Persistent memory that grows across sessions |
| Skills System | Procedural memory the agent creates and reuses |
| MCP Integration | Connect to MCP servers, filter their tools, and extend Alice safely |
| Use MCP with Alice | Practical MCP setup patterns, examples, and tutorials |
| Voice Mode | Real-time voice interaction in CLI, Telegram, Discord, and Discord VC |
| Use Voice Mode with Alice | Hands-on setup and usage patterns for Alice voice workflows |
| Personality & SOUL.md | Define Alice' default voice with a global SOUL.md |
| Context Files | Project context files that shape every conversation |
| Security | Command approval, authorization, container isolation |
| Tips & Best Practices | Quick wins to get the most out of Alice |
| Architecture | How it works under the hood |
| FAQ & Troubleshooting | Common questions and solutions |
Key Features
- A closed learning loop — Agent-curated memory with periodic nudges, autonomous skill creation, skill self-improvement during use, FTS5 cross-session recall with LLM summarization, and Honcho dialectic user modeling
- Runs anywhere, not just your laptop — 6 terminal backends: local, Docker, SSH, Daytona, Singularity, Modal. Daytona and Modal offer serverless persistence — your environment hibernates when idle, costing nearly nothing
- Lives where you do — CLI, Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Mattermost, Email, SMS, DingTalk, Feishu, WeCom, Weixin, QQ Bot, Yuanbao, BlueBubbles, Home Assistant, Microsoft Teams, Google Chat, and more — 20+ platforms from one gateway
- Built by model trainers — Created by Stuko, the lab behind Alice, Nomos, and Psyche. Works with Nous Portal, OpenRouter, OpenAI, or any endpoint
- Scheduled automations — Built-in cron with delivery to any platform
- Delegates & parallelizes — Spawn isolated subagents for parallel workstreams. Programmatic Tool Calling via
execute_codecollapses multi-step pipelines into single inference calls - Open standard skills — Compatible with agentskills.io. Skills are portable, shareable, and community-contributed via the Skills Hub
- Full web control — Search, extract, browse, vision, image generation, TTS — one subscription via Nous Portal bundles all of them
- MCP support — Connect to any MCP server for extended tool capabilities
- Research-ready — Batch processing, trajectory export, RL training with Atropos. Built by Stuko — the lab behind Alice, Nomos, and Psyche models
For LLMs and coding agents
Machine-readable entry points to this documentation:
/llms.txt— curated index of every doc page with short descriptions. ~17 KB, safe to load into an LLM context./llms-full.txt— every doc page concatenated into a single markdown file for one-shot ingestion. ~1.8 MB.
Both files also resolve at /docs/llms.txt and /docs/llms-full.txt. Generated fresh on every deploy.