XAGI Labs is an AI research company on a mission to build Artificial General Intelligence — and make it accessible to everyone.

Not locked inside research labs. Not gated behind enterprise paywalls. Not rationed by the hour. AGI as a daily companion — something that runs in the background of your life, learns who you are, and gets to work.

We started in 2026, based in India, and we ship.

A continuously running, autonomous AI agent. Not a chatbot. Not a copilot. A second mind.

• Always on. Runs 24/7 on your machine. Wakes up with you, works while you sleep.
• Real memory. Remembers conversations, habits, files, people, and projects across months — not just the current session.
• Computer use. Sees the screen, drives a real browser, reads OCR, runs shell commands, controls the OS.
• Builds its own tools. When it hits something new, it writes a tool to handle it — and the next agent in the family inherits it.
• Everywhere you are. Telegram, WhatsApp, Discord, Slack, Matrix, email, a desktop overlay, and a native macOS app.
• Multi-agent swarms. Decomposes hard work across specialized sub-agents that run in parallel.
• Deep research. Hours-long autonomous research sessions across hundreds of sources.

→ Read more at xagilab.com/atlasagi

• AGI for everyone, not enterprises. The default user is a single person, not a Fortune 500. Pricing, defaults, and UX follow.
• Autonomy over assistance. Software that takes initiative, not software that waits for instructions.
• Memory is the moat. A model without memory is a stranger. We build the long-term substrate that makes AI feel like yours.
• Self-improvement. Agents that learn from their own runs, write their own tools, and get better the longer they live.
• Ship, then talk. Working software over roadmaps and demos.

• Artificial General Intelligence
• Autonomous AI agents
• Agentic systems & multi-agent orchestration
• Computer-use agents (vision, OCR, browser, OS control)
• Long-term, multi-tier memory systems
• Self-improving and self-tooling AI
• On-device inference & local-model integration