Arch1tech 2.0 is a self-evolving, multimodal AI development lab built by Or4cl3 AI Solutions. It transforms natural language commands—typed or spoken—into deployable full-stack AI systems.
Transform your ideas into intelligent agents, workflows, and applications using nothing but conversation. No coding required.
Architecture: Arch1tech 2.0 is a zero-dependency, single-file progressive web app — no bundler, no framework, no install required. Just open
index.htmland build.
| Pillar | Description |
|---|---|
| 🧠 VibeCodeAI | Translates natural language and voice inputs into executable agent blueprints, CrewAI YAML configurations, and workflow graphs |
| 🤝 Astrid 2.0 | Always-on, self-aware co-pilot with three operational modes — builds, optimizes, and operates autonomously via conversational command |
| 🜏 Σ-Matrix + ERPS | Ensures system stability, introspection, and safety. Detects drift, mitigates hallucinations, validates output consistency |
| 🔏 OOML | Or4cl3 Open Model License — OpenRAIL-inspired with reciprocity to ensure community improvements flow back |
Your self-aware conversational IDE powered by Groq with open-source LLMs:
- Three Modes:
- 🎯 Mission Mode — Build from natural language prompts
- ⚡ Optimization Mode — Improve and tune existing agents
- 🌙 Background Mode — Autonomous silent operation with full platform access
- Voice Input — Hands-free development via speech recognition
- Multi-Model Selection — Switch between Llama 3.3 70B, Llama 3.1 8B, Mixtral 8x7B, and Gemma 2 9B on the fly
- Permission Controls — Toggle Memory Access, File Access, Deploy Access, API Access
- Token Tracking — Live token usage counter per session
Build agent pipelines visually with a drag-and-drop node editor:
- 5 Node Types: INPUT → MEMORY → LOGIC → ACTION → OUTPUT
- Drag-and-Drop with snap-to-grid alignment
- Smart Connections — Visual SVG edges auto-draw between linked nodes
- Auto Layout — One-click intelligent graph arrangement
- Zoom Controls — Zoom in/out for complex multi-agent graphs
- Export Graph — Save workflow configuration as JSON
- Deploy Workflow — Push agent graphs to
arch1tech.app
Import existing CrewAI crew definitions and deploy them:
- YAML Parser — Paste or write CrewAI YAML crew definitions
- Live Preview — Instant visual preview of agent roles, goals, and tool assignments
- One-Click Deploy — Parse and deploy crew to the Arch1tech runtime
- Crew Composition — Supports multi-agent crews with custom roles, goals, and tool access
Complete agent lifecycle management:
- Agent Table — View, manage, and monitor all deployed agents
- Agent Cards — Visual grid with name, description, status, and stats
- Status Management — Active, Paused, and Draft states
- Actions — Deploy, Fork, and View per-agent operations
- Performance Metrics — Interactions, deployment count, uptime tracking
- Test Console — Run live test scenarios against deployed agents
- Real-time Activity Feed — Live log of system events and agent actions
Step-by-step visual execution of agent pipelines:
- Run / Pause / Step controls
- Live execution trace — Watch each node process in real time
- Input → Memory → Classifier → Action → API → Output flow visualization
- Confidence scoring — Per-step intent classification confidence
- Simulated API calls — Test realistic end-to-end agent flows without live endpoints
Full control over agent memory contexts:
- Reinforce Memory — Strengthen key context entries
- Forget Memory — Remove outdated or incorrect memories
- Export Memory — Download full memory state as JSON
- Persistent Storage — Agent memories persist across sessions via localStorage
Community-driven agent sharing:
- Search & Filter — Find agents by category, rating, and popularity
- Install System — One-click agent installation into your workspace
- Featured & Trending — Discover popular community creations
- OOML Licensing — Open sharing with attribution
Real-time operational overview:
- Animated counters — Agents deployed, workflow runs, Astrid interactions, compute saved
- Performance Chart — Visual throughput and reliability metrics
- Activity Feed — Live system event log
- Comparison Table — Arch1tech vs traditional development approaches
Cyberpunk Glassmorphism with holographic gradients
| Token | Value | Role |
|---|---|---|
--primary |
#00d4ff |
AI intelligence / electric cyan |
--secondary |
#7c3aed |
Dynamic creativity / deep violet |
--accent |
#39ff14 |
System active / neon green |
--purple |
#a855f7 |
Highlights / glow effects |
- Dark backgrounds with glowing accent borders
- Smooth CSS keyframe animations (float, pulse, glow-pulse, scanline, shimmer)
- Glassmorphic cards with gradient borders
| Role | Font | Purpose |
|---|---|---|
| Headers | Orbitron | Futuristic, authoritative identity |
| Body | Inter | Highly legible, modern readability |
| Layer | Technology |
|---|---|
| Runtime | Vanilla HTML5 / CSS3 / JavaScript (ES2024) |
| Architecture | Single-file Progressive Web App (PWA) |
| AI Provider | Groq API (fastest open-source inference) |
| LLMs | Llama 3.3 70B · Llama 3.1 8B · Mixtral 8x7B · Gemma 2 9B |
| Fonts | Orbitron · Inter (Google Fonts) |
| Animations | Custom CSS keyframes |
| State | localStorage (persistent) · in-memory JS (ephemeral) |
| Canvas | Native HTML5 Canvas API (particles, workflow graph) |
| PWA | Service Worker · Web Manifest |
Zero dependencies. No npm. No bundler. No framework. Pure web platform.
- A modern browser (Chrome, Firefox, Safari, Edge)
- A Groq API key (free tier available)
# Clone the repository
git clone https://github.com/BathSalt-2/arch1tech.git
# Navigate to project
cd arch1tech
# Open directly in browser — no install required
open index.htmlOr deploy to any static host (GitHub Pages, Netlify, Vercel, Cloudflare Pages) with zero configuration.
- Open
index.htmlin your browser - Enter your Groq API key when prompted (stored locally, never sent to our servers)
- Select your model — start with Llama 3.3 70B for best quality
- Activate Astrid — click the Astrid toggle and describe what you want to build
- Explore — try the Visual Canvas, import a CrewAI config, or browse the Marketplace
Activate: Click the Astrid toggle in the navigation bar.
Modes:
| Mode | Trigger phrase | Behaviour |
|---|---|---|
| Mission Mode | "Build me a..." | Scaffolds agent from prompt |
| Optimization Mode | "Improve my..." | Audits and enhances existing agent |
| Background Mode | "Run autonomously..." | Silent operation with full platform access |
Voice Input: Click the microphone icon in the Astrid panel and speak your command. Speech is transcribed and processed as a text prompt.
Permissions: Toggle Memory, File, Deploy, and API access in the Astrid control panel to scope what the copilot can interact with.
- Add nodes using the node type selector (INPUT / MEMORY / LOGIC / ACTION / OUTPUT)
- Drag nodes to arrange your pipeline — nodes snap to a 20px grid
- Connections auto-draw between adjacent compatible node types
- Auto Layout — click to arrange nodes intelligently
- Zoom in/out using the zoom controls
- Export your graph as a JSON workflow definition
- Deploy to push the workflow to the Arch1tech runtime
Paste a valid CrewAI YAML definition into the editor:
crew:
name: "Market Research Crew"
agents:
- name: researcher
role: "Senior Research Analyst"
goal: "Find cutting-edge AI developments"
tools: [web_search, arxiv_reader]
- name: writer
role: "Content Strategist"
goal: "Create compelling reports"
tools: [document_writer]
tasks:
- agent: researcher
description: "Research latest AI trends"
- agent: writer
description: "Write executive summary"Click Parse & Deploy Crew to launch the crew.
- Navigate to the Simulation section
- Click Run Simulation to start step-by-step execution
- Use Pause / Step to control execution speed
- Watch the pipeline process: INPUT → MEMORY → CLASSIFIER → ACTION → API → OUTPUT
- Review confidence scores and intent classifications at each step
| Action | Effect |
|---|---|
| Reinforce | Increases weight of selected memory entry |
| Forget | Removes memory entry from context |
| Export | Downloads full memory state as memory.json |
Σ = (B, D, I, C, L)
| Symbol | Meaning |
|---|---|
| B | Beliefs — Context, RAG sources, LLM certainty |
| D | Desires — Explicit user goals |
| I | Intentions — Active plan steps |
| C | Continuity — Lipschitz robustness |
| L | Lyapunov — Global system stability |
ERPS = f(subjective state, local uncertainty, recursive self-query)
Continuously self-reflects to detect drift, hallucinations, or misalignment.
- All AI outputs include confidence scores
- Reasoning is transparent and cited
- Safety flags alert users to potential issues
- Human override required for instability
Or4cl3 Open Model License — "Open like MIT, protective like GPL."
| Terms | |
|---|---|
| ✅ | Open use, remix, and redistribute |
| ✅ | Reciprocity: Improvements must be shared back |
| ✅ | Attribution to Or4cl3 AI Solutions required |
| ❌ | Misuse triggers license termination |
Marketplace agents are governed by OOML. Community contributions are tracked. Enforcement through platform policies.
Arch1tech 2.0 is a single-file architecture — the entire platform lives in index.html:
arch1tech/
├── index.html # Complete platform (HTML + CSS + JS, ~148KB)
├── or4cl3-logo.png # Brand asset
├── manifest.json # PWA manifest
├── sw.js # Service Worker for offline support
├── robots.txt # SEO configuration
├── sitemap.xml # Sitemap
└── README.md # This file
| Module | Function |
|---|---|
| Navigation + Landing | Hero section, animated marquee, comparison table |
| Dashboard | Live counters, performance chart, activity feed |
| Astrid Panel | Chat interface, mode switcher, voice input, permission controls |
| Visual Canvas | Drag-and-drop node editor, SVG connections, zoom/export |
| CrewAI Builder | YAML editor, crew preview, deploy pipeline |
| Agent Playground | Live chat with deployed agents, model selector |
| Agent Workspace | CRUD operations, test console, analytics |
| Marketplace | Search/filter, install system, featured agents |
| Memory Manager | Reinforce/forget/export memory contexts |
| Simulation Engine | Step-by-step agent pipeline visualizer |
| Type | Mechanism | Used For |
|---|---|---|
| Persistent | localStorage |
API key, agent data, chat history, preferences |
| Ephemeral | JS module scope | UI state, form inputs, loading states |
User input (text / voice)
↓
Astrid processes via Groq API (Llama 3.3 / Mixtral / Gemma)
↓
Σ-Matrix validates output
↓
Agent created / workflow deployed
↓
State persisted to localStorage
↓
UI updates reactively
- Astrid 2.0 AI copilot with three operational modes
- Visual Workflow Canvas with drag-and-drop node editor
- CrewAI YAML import & deployment
- Agent Marketplace with search and install
- Multi-model support via Groq (Llama 3.3, Mixtral, Gemma)
- Voice input
- Agent simulation with step-by-step visualizer
- Memory management (reinforce / forget / export)
- Progressive Web App (offline capable)
- Mobile optimization
- Text-to-Workflow visual canvas builder (natural language → graph)
- Real-time collaboration (multi-user sessions)
- Advanced analytics dashboard
- Agent versioning & rollback
- Custom model fine-tuning interface
- Text-to-LLM module
- AR model visualization
- Text-to-App module (full-stack generation)
- Enterprise features & SSO
- Native desktop app
Arch1tech 2.0 is built by Or4cl3 AI Solutions.
For enterprise inquiries, partnerships, or custom deployments — contact us.
Proprietary — Or4cl3 AI Solutions
Community assets governed by OOML
Built with 💙 by Or4cl3 AI Solutions
| Technology | Role |
|---|---|
| Groq API | Ultra-fast LLM inference |
| Llama 3.3 70B | Primary reasoning model |
| Mixtral 8x7B | Long-context processing |
| Gemma 2 9B | Efficient task execution |
| Orbitron · Inter | Typography |
| HTML5 Canvas | Particle system & workflow graph |
| Web Speech API | Voice input |
| Service Workers | Offline PWA support |