⚠️ EXPERIMENTAL — AI HOBBYIST PROJECT

This project is entirely created and managed by AI (GitHub Copilot & Claude Code) through vibe coding. It is an experimental hobbyist project with a production-ready aim — not yet suitable for critical systems. Use at your own risk.

⚠️ EXPERIMENTAL | AI-Generated | Vibe Coded | Open Source

Transform Your Hardware Into an AI Operations Center

Run AI operations locally. No cloud costs. No data leaving your machine. Complete control over your AI infrastructure.

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MIT
License
License: MIT
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GitHub Stars
GitHub Stars
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Forks
GitHub Forks
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Open Issues
Open Issues

Core Capabilities

A complete local AI development platform designed for privacy, performance, and professional workflows.

Local AI Inference

Run large language models on your own hardware using Ollama and Foundry Local. No API costs, no data transmission.

ZERO COST

GPU Optimization

Automatic detection and optimization for NVIDIA GPUs. Supports multi-GPU configurations for parallel workloads.

AUTO-DETECT

Agentic Workflows

MCP server integration with Claude Code and VS Code extension. 26+ AI-powered tools for development automation.

26+ TOOLS

GitHub Integration

Self-hosted runner with bidirectional sync. Manage issues, PRs, projects, and discussions through AI automation.

AUTOMATED

Security First

ActionGuard validates all operations. SDK Source Guard ensures trusted packages. PII Scanner prevents credential leaks.

PROTECTED

Generative UI

Schematic Diagram SDK for architecture visualization. Real-time WebSocket updates. Blueprint-style dashboards.

LIVE

System Architecture

Conceptual diagrams showing how SLATE components integrate.

Architecture Diagrams

System architecture diagram showing SLATE component relationships.

System Requirements

SLATE scales from modest hardware to professional workstations.

Minimum

  • OSWindows 10/11, Linux, macOS
  • Python3.11 or higher
  • RAM8 GB
  • GPUOptional (CPU mode available)
  • Storage10 GB free space

Recommended

  • OSWindows 11, Ubuntu 22.04+
  • Python3.11 or higher
  • RAM16+ GB
  • GPUNVIDIA RTX 20xx+ (8GB+ VRAM)
  • Storage50+ GB SSD

Quick Install

Clone and run the installer. Full ecosystem ready in minutes.

git clone https://github.com/SynchronizedLivingArchitecture/S.L.A.T.E.git && cd S.L.A.T.E && python install_slate.py
Full Installation Guide

Development Roadmap

Track the evolution of SLATE capabilities.

v2.5

Current (Experimental)

  • Dual-GPU load balancing
  • Claude Code MCP integration
  • Schematic Diagram SDK
  • Watchmaker UI design system
v3.0

Next Release

  • Enhanced agentic workflows
  • Model fine-tuning pipeline
  • Extended Claude Agent SDK
  • Performance optimizations
Future

Planned Features

  • Distributed multi-machine
  • Custom model training
  • Advanced RAG pipelines
  • Plugin ecosystem