Resonix logo Resonix Memory-native autonomous agent

👾 Version 2026.3.12 · Node.js 22.12+ · Playwright-powered

Memory-nativeagent runtime.

Two-layer memory, retrospective learning, Playwright browser control, and a gateway control plane in one runtime. Stateful across CLI and messaging surfaces.

Two-layer memory Retrospective learning Playwright runtime Gateway control plane
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Agent runtime Two-layer memory, browser control, and gateway services

Layer A stores machine-readable profile data. Layer B writes a desktop mirror at ~/Desktop/resonix-M/. Browser and gateway services sit beside it.

Core surfaces
memoryLayer A profile + Layer B desktop mirror
browserplaywright-core with resilient automation flows
gatewayrouting, auth, status, and channel delivery
Memory mirror
~/Desktop/resonix-M/
identity/
knowledge/
autonomy/
retrospectives/
logs/
Operational visibility

Success rate, P95 latency, and risk signals stay visible.

Health probes Gateway status Automation board
01

Two-layer permanent memory

Layer A stores profile data. Layer B writes readable memory files to the desktop mirror.

02

Retrospective learning loop

Each task feeds review, learning, and the next execution path.

03

Gateway observability

Track success, errors, P95 latency, and risk level in one place.

Why it feels different

Built for continuity.

Memory is part of the architecture, not an afterthought.

Identity, knowledge, retrospectives, and logs persist so the next interaction starts with retained state instead of a blank session.

Retrospectives feed the next execution path.

What worked, what failed, and what should change all feed back into the runtime.

Browser execution and channel delivery share one runtime contract.

Browser control, gateway routing, and channel adapters live in one runtime contract.

Resonix vs traditional assistants

Persistent, not session-bound.

Traditional assistants
Memory Context window only
Learning Starts fresh each thread
Identity Mostly generic
Browser Usually external tools
Resonix
Memory Permanent + desktop mirror
Learning Retrospective feedback loop
Identity Profile-driven state
Browser Built-in Playwright runtime

System architecture

Channel ingress, gateway control, persistent state.

01

Channels

Telegram, Discord, Slack, WhatsApp, Signal, plus extension channels.

02

Gateway

Routing, auth, status tracking, and channel adapters form the control plane.

03

Agent runtime

Memory, browser execution, tools, identity, and growth loops run together.

Quick Start

Install. Onboard. Serve.

curl -fsSL https://raw.githubusercontent.com/mangiapanejohn-dev/Resonix-AG/main/install.sh | bash
iwr -useb https://raw.githubusercontent.com/mangiapanejohn-dev/Resonix-AG/main/install.ps1 | iex
curl -fsSL https://raw.githubusercontent.com/mangiapanejohn-dev/Resonix-AG/main/install-termux.sh | bash
After install
resonix -v
resonix onboard
resonix gateway

resonix gateway status
resonix cron board
resonix memory profile

Use onboard for setup, gateway for serving, gateway status for health, cron board for schedules, and memory profile for learned state.

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

Documentation

Docs for operators.