AigenLabs Agent
The self-improving AI agent built by AigenLabs. 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
Desktop app setup
AigenLabs Desktop setup is currently guided. Contact AigenLabs for the customer install command for your operating system. The commands below are for command-line installs.
Without AigenLabs Desktop:
For a command-line only install without AigenLabs Desktop, run:
Linux / macOS / WSL2 / Android (Termux)
curl -fsSL https://docs.aigenlabs.vn/install.sh | bash
Windows (native)
Run in powershell:
iex (irm https://docs.aigenlabs.vn/install.ps1)
See the full Installation Guide for what the installer does, the per-user vs root layout, and Windows-specific notes.
After installing, run aigenlabs setup to choose your model provider, enable only the tools you need, and verify the agent with a clean first conversation.
What is AigenLabs 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, or native Windows |
| 📖 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 AigenLabs safely |
| 🧭 Use MCP with AigenLabs | Practical MCP setup patterns, examples, and tutorials |
| 🎙️ Voice Mode | Real-time voice interaction in CLI, Telegram, Discord, and Discord VC |
| 🗣️ Use Voice Mode with AigenLabs | Hands-on setup and usage patterns for AigenLabs voice workflows |
| 🎭 Personality & SOUL.md | Define AigenLabs' 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 AigenLabs |
| 🏗️ 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 for operators — Created by AigenLabs as a practical agent runtime for real work. Works with OpenRouter, OpenAI-compatible APIs, OAuth providers, local models, or any custom 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, and TTS with provider choices for direct keys, local backends, or managed gateways
- MCP support — Connect to any MCP server for extended tool capabilities
- Research-ready — Batch processing, trajectory export, RL training with Atropos. Built by AigenLabs — the lab behind AigenLabs, 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.