🚀 LaunchAgencyBot

Production-ready Solana memecoin launcher with AI-powered generation and sophisticated curation workflows

📋 Document Summary

What This Document Covers:

• Quick start guide for launching the Web UI and backend
• High-level architecture overview with component diagrams
• Core feature summaries (Web UI, AI Generation, Blockchain, Vector DB, Workflows)
• Documentation navigation structure (Architecture, Features, Workflows, Development, Research)
• Key technology stack and project statistics

Sections in This Document:

• Quick Start - Launch commands
• Architecture - System diagram and component overview
• Core Features - Feature summaries with doc links
• Development - Development guides
• Documentation Structure - Complete doc navigation
• Key Technologies - Technology stack
• Project Stats - Code metrics

Related Documentation:

• → .claude/ARCHITECTURE.md - Detailed system architecture
• → docs/architecture/ - Architecture deep-dives
• → docs/features/ - Feature-specific documentation
• → docs/workflows/ - Workflow documentation
• → docs/development/ - Development guides

Context Tags: #readme #navigation #quickstart #architecture-overview #documentation-hub

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Quick Start

# Launch Web UI + backend logic
PYTHONPATH=. uvicorn src.web_ui.main:app --port 8000 --reload

Architecture

┌─────────────────┐     ┌──────────────────┐     ┌────────────────────┐
│  Web UI (14pg)  │────▶│  Orchestrators   │────▶│  Services Layer    │
│  FastAPI + JS   │     │  (6 coordinators)│     │  Firebase, Solana  │
└─────────────────┘     └──────────────────┘     └────────────────────┘
                                │
                                ▼
                    ┌───────────────────────┐
                    │  Domain Architecture  │
                    │  Input → Process →    │
                    │  Execute (8 stages)   │
                    └───────────────────────┘
                                │
                    ┌───────────┴───────────┐
                    ▼                       ▼
            ┌──────────────┐        ┌──────────────┐
            │ Vector DB    │        │ Pump.fun API │
            │ (5 collections)│      │ (Solana)     │
            └──────────────┘        └──────────────┘

📖 Detailed Architecture: .claude/ARCHITECTURE.md

Core Features

🌐 Web Interface

Professional 14-page UI + backend with orchestrator architecture, real-time updates, and keyboard navigation.

→ Complete Documentation - Web UI, API endpoints, pages reference

🤖 AI Generation

RAG-enhanced memecoin creation with CLIP embeddings, 4-phase captions, and 356-tag classification.

→ Complete Documentation - AI generation, RAG system, trends

⛓️ Blockchain Integration

Production-ready pump.fun launcher with atomic CREATE+BUY transactions and Firebase wallet management.

→ Complete Documentation - Pump.fun, Firebase, Vortex

📊 Vector Database

5-collection multi-embedding architecture with weighted search and degradation system.

→ Complete Documentation - Vector DB, storage, API integration

🔄 Workflows

8 production workflows for launch detection, RAG generation, meme processing, and trend analysis.

→ Workflows Overview

Development

Getting Started

→ Development Guides - Setup, testing, code style, Git workflow, commands, agents

Documentation Structure

📐 Architecture

Deep-dive technical documentation on system design, patterns, and integration points.

⚡ Features

Feature-specific documentation covering Web UI, AI generation, blockchain, vector database, and integrations.

🔄 Workflows

Complete workflow documentation covering all 8 production workflows with data flows and stage details.

🛠️ Development

Development guides covering setup, testing, code style, Git workflow, commands, and sub-agent tools.

🔬 Research

Research documents and advanced topic explorations.

Key Technologies

• Blockchain: Solana, pump.fun API, SPL Token
• AI & ML: OpenAI CLIP, LiteLLM, Gemini 2.0, GPT-4
• Vector DB: ChromaDB (5-collection architecture)
• Web: FastAPI, Uvicorn, JavaScript
• Persistence: Firebase Firestore, JSON files
• Testing: Pytest, integration scripts

Project Stats

• 223 Python modules across 16 packages
• 14-page Web UI with real-time updates
• 60+ API endpoints for complete control
• 8 production workflows for all use cases
• 5-collection vector DB with CLIP embeddings
• 356 tags across 19 categories
• 30+ processing stages in domain architecture

License & Disclaimer

For educational and legitimate development purposes. Test thoroughly on devnet and ensure regulatory compliance.

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Contributing? Start with the Development Guides.