AI-Powered Solution Builder with Intelligent Agent Orchestration
Purple8 Builder is an revolutionary AI system that transforms your ideas into complete, production-ready software solutions. Instead of one AI writing code, 58+ specialized AI agents collaborateβeach expert in their domainβto deliver professional-grade results.
Think of it as having an entire software team at your fingertips:
You: "Build me an e-commerce app"
ChatGPT: [Returns a single code file that won't actually work]
You: "Build me an e-commerce app"
Purple8 Builder:
π Phase 1: CONCEPTION
ββ Ideation Agent β Full requirements document
π¨ Phase 2: PLANNING
ββ Design Agent β UI/UX wireframes
ββ Architecture Agent β System design
ββ Database Agent β Schema + migrations
π» Phase 3: IMPLEMENTATION
ββ API Development Agent β REST/GraphQL contracts
ββ Frontend Agent β Vue.js/React components
ββ Backend Agent β FastAPI/Node services
ββ Infrastructure Agent β Docker + Kubernetes
π§ͺ Phase 4: QUALITY ASSURANCE
ββ Unit Test Agent β Test coverage
ββ Integration Test Agent β API tests
ββ Security QA Agent β Vulnerability scan
ββ UAT Agent β User acceptance tests
π Phase 5: DELIVERY
ββ DevOps Agent β CI/CD pipelines
ββ Deployment Agent β Cloud deployment config
ββ Observability Agent β Monitoring setup
β
OUTPUT: Complete, deployable application
Purple8 Builder doesnβt run all 58+ agents for every project. Itβs intelligent:
When you describe your project, the Smart Orchestrator analyzes:
Example 1: Simple REST API
Project: "Build a user authentication API"
Selected Agents (11):
β Ideation β Design β Architecture β Database
β API Development β Backend Development
β Unit Test β Integration Test β Security QA
β DevOps β Deployment
Skipped: Frontend, Mobile, AI/ML agents (not needed)
Example 2: Full E-commerce Platform
Project: "Build a full-stack e-commerce platform with recommendation engine"
Selected Agents (25):
β ALL foundational agents
β Frontend Development (Vue.js store)
β Backend Development (FastAPI)
β Mobile Agent (responsive design)
β AI/ML Agent (recommendations)
β RAG Agent (product search)
β Full QA suite
β Security + Guardrails
β Complete DevOps
Agent selection is powered by the Purple8 Graph Engine (services/knowledge_graph/agent_selection_graph.py), a custom vector-native knowledge graph that replaces all legacy vector databases.
How it works:
kg_loader.py) populates all 58+ agents as graph nodes with DEPENDS_ON, BELONGS_TO_PHASE, BELONGS_TO_CATEGORY, and FOLLOWS_IN_SEQUENCE edgesget_all_agents() and get_all_dependencies()get_agents_for_task() runs a hybrid search (vector similarity + graph neighbourhood traversal) to find the most relevant agentsfind_agent_execution_path() traverses FOLLOWS_IN_SEQUENCE edges to determine execution orderget_agent_dependencies() traverses DEPENDS_ON edges to ensure prerequisites run firstKey principle: The journey does NOT always start with ideation β the graph determines the optimal entry point:
The Solution Library (solution_library.py) + Build Recall Service (build_recall.py) use Purple8 Graph to learn from every completed build:
| Phase | What Happens |
|---|---|
| Pre-run | BuildRecallService.pre_run_recall(prompt) runs a vector search over past Solution nodes, finds similar builds, and injects context snippets into the pipeline prompt |
| Post-run | BuildRecallService.post_run_save(session_id, prompt, agent_outputs) persists the completed build as a new Solution node with embeddings, tech stack, and metadata |
This means every build makes the next one smarter β agents receive context like: βSimilar past build: FastAPI + PostgreSQL REST API (score: 0.92, tech: python, fastapi, postgres)β
The HITL approval workflow uses Monaco Editor (VS Codeβs editor engine) for all code review and inline editing.
When an agent produces output and enters the HITL approval queue:
MonacoCodeEditor renders the output with full syntax highlighting, auto-detecting language from agent name (e.g., architecture β YAML, database β SQL, backend β Python)MonacoDiffViewer shows side-by-side or inline diff comparing the previous version against the current agent output, with change count badges and unchanged region folding| Component | Used In | Purpose |
|---|---|---|
MonacoCodeEditor |
HITLReviewPanel, AgentOutputViewer | Full editor: copy, format, language selector, fullscreen, read-only or editable |
MonacoDiffViewer |
HITLReviewPanel | Diff viewer: side-by-side / inline toggle, change statistics, version comparison |
Supported languages: JSON, YAML, Markdown, Python, TypeScript, JavaScript, SQL, HTML, CSS, Shell.
| Agent | Purpose | |ββ-|βββ| | Ideation | Analyzes requirements, creates user stories, defines scope |
| Agent | Purpose | |ββ-|βββ| | Design | UI/UX wireframes, component library, user flows | | Architecture | System design, component relationships, tech stack | | Database | Schema design, migrations, indexes, ORM models | | AI Engineering | ML architecture for AI-enabled projects | | Data Science | Data pipeline and analytics design |
Core Development: | Agent | Purpose | |ββ-|βββ| | API Development | REST/GraphQL API contracts and documentation | | Frontend Development | Vue.js, React, or Angular components | | Backend Development | FastAPI, Node.js, or Django services | | Infrastructure Development | Docker, Kubernetes, cloud configs | | Mobile Development | React Native, Flutter, native code |
AI/ML Agents: | Agent | Purpose | |ββ-|βββ| | Machine Learning | ML model code and training pipelines | | NLP | Natural language processing components | | Computer Vision | Image/video processing | | RAG | Retrieval-augmented generation systems | | Chatbot | Conversational AI implementations | | Prompt Engineering | LLM prompt optimization |
Data & Analytics: | Agent | Purpose | |ββ-|βββ| | Dashboard | Data visualization components | | Data Engineering | ETL pipelines and data processing | | Graph Analytics | Knowledge graph implementations |
| Agent | Purpose | |ββ-|βββ| | Unit Test | Unit tests with >80% coverage | | Integration Test | API and service integration tests | | SIT | System integration testing | | UAT | User acceptance test scenarios | | Performance QA | Load testing and optimization | | Security QA | Vulnerability scanning, OWASP checks | | Accessibility QA | WCAG compliance testing |
| Agent | Purpose | |ββ-|βββ| | DevOps | CI/CD pipelines (GitHub Actions, GitLab) | | Deployment | Cloud deployment configurations | | Software Packaging | Docker images, packages | | Observability | Logging, metrics, tracing setup |
| Agent | Purpose | |ββ-|βββ| | Guardrails | AI safety constraints | | Security Risk | Threat modeling and risk assessment | | Legal | License compliance, ToS generation | | Compliance | Regulatory compliance checks |
You: "Build a task management web app with user authentication"
Purple8 Builder analyzes β selects 15 agents β executes in dependency order
Output:
π project/
βββ π REQUIREMENTS.md (from Ideation Agent)
βββ π DESIGN_SPEC.md (from Design Agent)
βββ π ARCHITECTURE.md (from Architecture Agent)
βββ π database/
β βββ schema.sql (from Database Agent)
β βββ migrations/
βββ π backend/
β βββ main.py (from Backend Agent)
β βββ api/
β βββ models/
β βββ tests/ (from Unit Test Agent)
βββ π frontend/
β βββ src/
β β βββ components/ (from Frontend Agent)
β β βββ views/
β βββ package.json
βββ π infrastructure/
β βββ Dockerfile (from Infrastructure Agent)
β βββ docker-compose.yml
β βββ kubernetes/
βββ π ci-cd/
β βββ .github/workflows/ (from DevOps Agent)
βββ π SECURITY_REPORT.md (from Security QA Agent)
# 1. Analyze project and get recommended agents
POST /api/pipeline/analyze
{
"description": "Build a task management web app",
"requirements": ["user auth", "task CRUD", "due dates"]
}
# Response: Recommended agents and execution plan
# 2. Execute the pipeline
POST /api/pipeline/execute
{
"project_id": "proj-123",
"agents": ["ideation", "design", "architecture", ...],
"mode": "full"
}
# Response: Streaming agent outputs
| Mode | Description | Use Case |
|---|---|---|
| Full | Run all recommended agents | New projects |
| Incremental | Run only changed agents | Updates |
| Phase | Run specific phase only | Testing phase only |
| Single | Run one agent | Quick fixes |
Input: "Build an analytics dashboard SaaS"
Agents: 22 agents
Output: Full-stack Vue + FastAPI + PostgreSQL app
Time: ~15 minutes
Input: "Mobile-first e-commerce with AI recommendations"
Agents: 28 agents (including ML, Mobile)
Output: React Native + FastAPI + ML pipeline
Time: ~25 minutes
Input: "HIPAA-compliant patient portal"
Agents: 30 agents (extra security, compliance)
Output: Secure full-stack with audit logging
Time: ~30 minutes
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Purple8 Builder β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β βββββββββββββββ βββββββββββββββββββ ββββββββββββββββββ β
β β Project βββββΆβ Project βββββΆβ Smart β β
β β Input β β Analyzer β β Orchestrator β β
β βββββββββββββββ βββββββββββββββββββ βββββββββ¬βββββββββ β
β β β β
β βΌ βΌ β
β βββββββββββββββ βββββββββββββββ β
β β Domain β β Agent Pool β β
β β Detection β β (58+ agents)β β
β β β’ Web β β β β
β β β’ Mobile β β Conception: β β
β β β’ AI/ML β β - Ideation β β
β β β’ Data β β β β
β β β’ Security β β Planning: β β
β βββββββββββββββ β - Design β β
β β β - Arch β β
β βΌ β - Database β β
β βββββββββββββββ β β β
β β Purple8 β β Implement: β β
β β Graph β β - Frontend β β
β β Engine β β - Backend β β
β β β β - AI/ML β β
β β β’ Agent β β β β
β β graph β β QA: β β
β β β’ Vector β β - Tests β β
β β search β β - Security β β
β β β’ Solution β β β β
β β recall β β Delivery: β β
β β β’ Journey β β - DevOps β β
β β tracking β β - Deploy β β
β βββββββββββββββ βββββββββββββββ β
β β β β
β βΌ βΌ β
β βββββββββββββββββββββββββββββββββββββββ β
β β HITL Review (Monaco Editor) β β
β β Code viewer + Diff viewer β β
β β Inline editing β feedback loop β β
β ββββββββββββββββ¬βββββββββββββββββββββββ β
β βΌ β
β βββββββββββββββββββββββββββββββββββββββ β
β β Complete Project Output β β
β β (Code + Docs + Tests + Configs) β β
β βββββββββββββββββββββββββββββββββββββββ β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
| Plan | Projects/Month | Price |
|---|---|---|
| Free | 3 projects | $0 |
| Pro | 20 projects | $49/month |
| Team | 100 projects | $199/month |
| Enterprise | Unlimited | Custom |
1 project = 1 full pipeline execution
Questions? Contact support@purple8.ai
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