Zeto v2.0
AI Environment Provisioner

Zero-touch provisioning
with autonomous self-healing.

Zeto scans your repository, orchestrates dependency execution, and autonomously repairs runtime errors using cognitive AI and local vector RAG memory.

Explore Workflow
Inference Model
Cognitive AI Agent
Healing Memory
Local Vector RAG
Log Stream
FastAPI WebSocket
zeto-agent // telemetry
Port :8000
01 Parser Scan
02 Plan Execution
03 RAG Healing
04 Health Probe
[00:00:01] Initializing repository discovery...
[00:00:02] Manifests found: package.json, requirements.txt
[00:00:04] $ npm install --silent
[00:00:06] Stderr: EADDRINUSE 127.0.0.1:3000
RAG Vector Match: "EADDRINUSE port conflict"
Executing fix: npx kill-port 3000
[00:00:08] $ npx kill-port 3000 && npm run dev
[00:00:10] Ping http://localhost:3000 → HTTP 200 OK
Target: http://localhost:3000 Status: Ready

Core Capabilities

Three autonomous modules collaborating to deliver verified, ready-to-run environments.

Parser Agent

Automated Stack Discovery

Analyzes configuration files such as package.json, Dockerfile, requirements.txt, and .env templates to construct optimal installation execution plans without manual intervention.

Discovery engine Zero-config
RAG Kernel

Cognitive Auto-Healing

When execution encounters runtime errors (exit code != 0), stderr logs are matched against local vector RAG memory and cognitive AI to execute targeted fixes across up to 3 retry attempts.

Remediation retries Up to 3 attempts
Health Agent

Service Health Verification

Non-blockingly verifies application availability via periodic HTTP pings to the detected port, confirming an HTTP 200 OK status before declaring deployment readiness.

Active probe HTTP 200 check

Execution Pipeline

Three sequential stages from repository input to verified service readiness.

01 // Discovery

Repository Ingestion

Provide the GitHub repository URL in the console. The system clones into an isolated workspace and automatically parses all dependency manifests.

02 // Orchestration

Supervised Execution

The backend executes commands asynchronously with explicit user approvals, streams real-time terminal logs, and triggers Auto-Healing upon failure.

03 // Verification

Verified Deployment

Automated probes confirm HTTP 200 responses on the target port. The system signals complete readiness without manual configuration.

System Architecture

Modular microservices topology interconnected via REST and secure WebSocket channels.

:5173 Client

Frontend Client

Real-time user interface dashboard built with React, Vite, and Tailwind CSS for log streaming, approval prompts, and agent reasoning observation.

React + Tailwind CSS
:8000 Gateway

Backend Orchestrator

FastAPI Gateway executing subprocesses in isolated workspaces, managing WebSocket communication, and orchestrating health verification.

Python FastAPI + AsyncIO
:8001 Cognitive AI

Cognitive Agents & RAG

Intelligent inference service powered by cognitive AI and local vector store embeddings for automated parsing and self-healing.

Agents API + Vector Store

Ready for Zero-Touch Provisioning?

Launch the agent console and begin executing your project setup in seconds.