Build AI tools, media pipelines, autonomous agents, creator studios, and full applications — all from one unified platform.
Quick Start · Demo · Features · Architecture · Contributing · Roadmap · Plugin SDK
SuperBuilder in action — unified AI dashboard with multi-agent orchestration, creator studios, and real-time monitoring.
https://github.com/rupac4530-creator/super-builder-platform/assets/super.png
📽 Watch the full platform demo → supervid.mp4
See autonomous agents plan, code, test, and deploy — all in real time.
SuperBuilder is a next-generation AI development platform that combines AI orchestration, autonomous agents, creative pipelines, code generation, deployment, and self-improving intelligence into a single system.
Instead of switching between 15 different tools for chat, image generation, deployment, monitoring, and automation — you open SuperBuilder and everything is there.
User: "Build a SaaS landing page and deploy it"
SuperBuilder:
→ Planner Agent creates architecture
→ Coder Agent writes frontend + backend
→ Tester Agent runs checks
→ Deployer Agent ships to production
→ All in one platform, fully autonomous
| Problem | SuperBuilder Solution |
|---|---|
| Too many AI tools to manage | One unified platform for everything |
| AI can chat but can't build | Autonomous agents that plan, code, test, and deploy |
| No way to create media with AI | 7 Creator Studios (video, audio, 3D, games, design, fashion, robotics) |
| Hard to extend AI platforms | Plugin SDK — build and share extensions |
| AI doesn't learn from mistakes | Evolution Engine — self-improving intelligence |
| Complex setup for contributors | docker compose up — running in 60 seconds |
- Dashboard — Real-time overview with system health, GPU status, quick actions
- AI Assistant — Multi-model chat with streaming, context awareness, tool use
- Project Manager — Create and manage AI projects and experiments
- Unified Control Center — Single dashboard for every module
- Plan & Execute — Describe a goal, AI creates a step-by-step plan and executes it
- Multi-Agent Teams — Planner, Coder, Tester, Deployer, Researcher, Security agents working together
- 10+ Built-in Tools — Web search, code gen, shell, deploy, browser, DB, file ops, API calls
- Task Monitor — Real-time execution with pause/resume/cancel
- Agent Memory — Long-term memory with search for context-aware agents
- Sandboxed Execution — Safe execution with resource limits and dry-run mode
- Game Studio — Build games with AI (Unity, Godot, Unreal, Web)
- Video Studio — AI video generation with multiple styles
- Audio Studio — Music composition, voice cloning, denoising
- 3D Studio — 3D model generation, NeRF reconstruction
- Fashion Studio — AI garment design, fabrics, patterns
- Design Suite — Posters, social media, logos, presentations
- Robotics Lab — Multi-backend robotics simulation
- Knowledge Brain — Research engine, knowledge graphs, concept maps
- AI Memory — Persistent memory across conversations
- Idea Lab — Validate ideas, build startup plans
- Code Forge — AI debugging, screenshot-to-code, auto-refactor
- Data Insights — Pattern detection, simulations, predictions
- Learning Hub — AI courses, skill builder, debate mode
- Trend Radar — Market analysis, trend scanning
- Collab Space — AI collaboration rooms
- AI Marketplace — Browse agents, models, plugins, templates
- Self-Improve — Auto bug detection, optimization
- Performance Analysis — Track agent success rates and efficiency
- Workflow Optimization — Learn and reuse successful patterns
- Optimization Insights — AI-generated improvement suggestions
- Continuous Learning — Platform gets smarter over time
| Provider | Models | Type |
|---|---|---|
| OpenAI | GPT-5, GPT-5-mini, GPT-4o, Embeddings | Cloud |
| Google Gemini | Gemini 1.5 Flash, Pro | Cloud |
| Groq | Llama 3.3 70B, GPT OSS 120B | Cloud (fast) |
| Cloudflare Workers AI | Qwen1.5-14B, Llama 2, OpenChat, Zephyr | Edge |
| Ollama | Any local model | Local |
| LLM Studio | Any GGUF model (Llama, Mistral, Phi, Qwen, etc.) | Local |
| OpenRouter | 600+ models | Cloud |
| DeepSeek | DeepSeek-R1-0528 | Cloud |
| Meta | Llama-3.2-90B-Vision | Cloud |
- Build custom plugins with the Plugin SDK
- Example plugins included (AI provider, web scraper, automation)
- Share plugins through the marketplace
Helper scripts in scripts/ and the root directory are local development helpers only. They are optional, interactive, and will prompt for any input they need.
Do not run scripts blindly. Review them first. Never commit secrets or personal information to any script. See
scripts/README.mdfor details.
SuperBuilder Platform
│
├── Frontend (Next.js 14)
│ ├── Dashboard & Control Center
│ ├── 7 Creator Studios
│ ├── Agent Hub (OpenClaw) — plans, tasks, teams
│ ├── 10 Innovation Lab modules
│ └── Evolution Dashboard
│
├── Backend API (Express + TypeScript)
│ ├── AI Orchestration (8+ providers)
│ ├── Agent System (plans → tasks → execution)
│ ├── Job Queue & Workers
│ ├── Innovation APIs (10 modules)
│ └── Evolution Engine (self-improving)
│
├── Plugin SDK
│ ├── Plugin interface & lifecycle
│ ├── Example plugins
│ └── Plugin marketplace integration
│
└── Infrastructure
├── Artifact Vault (asset storage)
├── Monitoring (Prometheus metrics)
├── Sandbox Runner (safe execution)
└── Backup & Restore system
git clone https://github.com/rupac4530-creator/super-builder-platform.git
cd super-builder-platform
docker compose upOpen http://localhost:3000 — done.
# Clone
git clone https://github.com/rupac4530-creator/super-builder-platform.git
cd super-builder-platform
# Configure
cp .env.example .env
# Backend (terminal 1)
cd backend && npm install && npm run dev
# Frontend (terminal 2)
cd platform && npm install && npm run devOpen http://localhost:3000.
The platform runs in mock mode by default — no API keys required. Add your own keys to
.envto enable real AI.
We welcome developers, AI researchers, designers, and engineers from around the world.
Ways to contribute:
- Improve AI pipelines and agent logic
- Build new creator studio tools
- Create plugins with the Plugin SDK
- Add support for new AI models
- Optimize performance for different hardware
- Fix bugs, write tests, improve documentation
- Build starter templates
Check out our good first issues to get started.
See CONTRIBUTING.md for the full guide.
See ROADMAP.md for the complete development roadmap with checkboxes.
Next priorities:
- Real sandboxed code execution (Docker containers)
- RAG with vector search
- Plugin marketplace UI
- Multi-user workspaces
- Live demo deployment
- GitHub Discussions — Ask questions, share ideas
- Issues — Report bugs, request features
- Contributing Guide — How to get started
AGPL-3.0 — You can use, modify, and distribute this software freely. If you run a modified version as a network service, you must share your source code under the same license. See LICENSE.
Built with passion by rupac4530-creator and the open-source community.
⭐ If this project is useful to you, please give it a star — it helps others discover it.