Sense · Nexus · Outgrow

AI Agents That Grow Through Their Own Experience

SNO gives your AI agents context-aware memory, environment sense, and the ability to develop skills — so they get better with every session, not just every prompt.Not another AI memory tool. The experience layer your agents are missing.

Early Access
Join the next cohort of builders whose AI agents will grow smarter with every session.

Compatible with: ChatGPT · Claude · Cursor · Windsurf · Any MCP-compatible agent

Sno Active Memory Graph

INTEGRATES WITH YOUR AI STACK

ChatGPT
Claude
Gemini
Codex
Cursor
Windsurf
Copilot
Perplexity
OpenClaw

The Problem

AI agents are powerful.
But they never grow.

AI Context Problem Visualization
Every session starts from zero.
Your agent solved this yesterday. Today it has no idea. No memory persists. No experience accumulates. Every conversation is day one.
Same mistakes. Every single time.
Your agent hit this exact bug last week. It debugged for an hour, found the fix — and learned nothing. Next time, same hour wasted.
Powerful but perpetually junior.
Your AI agent has the raw capability of a senior engineer — but the institutional knowledge of someone who started today. It never develops expertise.

How SNO Works

From memory to experience. From experience to growth.

Memory is just the foundation. SNO builds a complete cognitive stack — context-aware memory, environment sense, and evolving skills — so your agent's ability grows continuously with use.

Sense — Perceive and Capture.
Every interaction, every environment signal, automatically captured and structured. Your agent develops awareness of its world — not just what you tell it, but what it experiences.
Nexus — Connect and Learn.
Cross-session persistence with quality scoring. Your agent builds a living knowledge graph — remembering what worked, flagging what failed, connecting insights across every project and tool.
Outgrow — Evolve and Improve.
Validated strategies extracted from real experience. Your agent develops genuine expertise — learning patterns, avoiding known pitfalls, and sharing proven approaches across your entire AI stack.
SNO Architecture Visualization

The Growth Journey

An agent that outgrows its day-one self.

Each quarter, your agent gains a new capability layer.

Now

The Agent Remembers

Persistent in-session context. 200 messages deep, your agent still references decision #1. The foundation is laid.

Q2 2026

The Agent Learns From Mistakes

Cross-session memory with anti-pattern detection. What failed once is flagged forever. Your agent never repeats the same mistake.

Q3 2026

The Agent Develops Expertise

Reusable strategies distilled from accumulated experience. Your agent extracts patterns, builds domain knowledge, and applies proven approaches autonomously.

Q4 2026

The Agent Outgrows Itself

Validated strategies shared across your entire AI stack. What one agent learns, every agent benefits from. The full SNO evolution cycle is live.

Open where it matters. Private where it counts.

MCP server and core protocols are open source — your agent's growth infrastructure is never locked in. Your data, your experience, your control.

Open Source Transparency