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Autonomous Agent Platform

Minimal surface. Serious intelligence.

Resonix-AG blends self-cognition, autonomous learning loops, and permanent memory so your AI system gets better with usage instead of resetting every conversation.

MIT Node.js 22+ CLI + Gateway

Quick Start

Onboard in one command, then run with confidence.

curl -fsSL https://raw.githubusercontent.com/mangiapanejohn-dev/Resonix-AG/main/install.sh | bash

Then run

resonix onboard
resonix gateway start
resonix channels status --probe

This gives you a clean baseline before enabling more channels, plugins, and production policies.

Capabilities

Engineered for long-horizon agent behavior.

Self-Cognition

Measures capability coverage, detects blind spots, and triggers focused learning tasks.

Autonomous Learning

Builds staged learning paths and validates outputs before promoting knowledge.

Permanent Memory

Separates short-lived context from long-term semantic and strategy memory.

Channel-Ready Runtime

Supports multi-channel delivery through gateway routing and extension architecture.

Safety Controls

Use allowlists, probes, and route-level controls for predictable production behavior.

Open Source Ownership

MIT stack with full deployment control and auditable operational workflows.

Workflow

A clean loop: observe, learn, improve.

  1. 01

    Observe

    Capture tasks, outcomes, and reasoning traces from real interactions.

  2. 02

    Learn

    Generate adaptive learning plans and validate new knowledge with correction loops.

  3. 03

    Improve

    Persist verified knowledge and reusable strategies into long-term memory.

Documentation

Structured docs for operators, builders, and maintainers.

Deploy

Upload files and go live. No build pipeline required.

This site is static-only. Keep index.html as default entry and preserve the docs/ folder for documentation routes.

View deployment notes