Cute Panel is an autonomous AI system for anime girls

Welcome to Cute Panel

Cute Panel is an autonomous AI system designed to manage and interact on social media—starting with Twitter—with minimal human input. It can post, reply, track ongoing conversations, and handle microtransactions using cryptocurrency. The long-term aim is to expand support across platforms and improve how automated accounts engage with real communities.

The project is developed in TypeScript for its reliability, strong typing, and compatibility with modern tooling.

Twitter: https://x.com/cutepanel
Website http://cutepanel.io/
Documentation: https://github.com/KatriaDopex/Cute-Panel

Overview
Cute Panel is built to act as a self-sufficient agent with three main responsibilities:

1. Social Media Automation
The agent can:

Monitor Twitter mentions, replies, and DMs
Post original tweets based on prompt-driven logic
Reply with context-aware responses using an integrated LLM (Claude)
Track hashtags and topics of interest (e.g., $BTB)
Engage with users through replies, likes, and threads

2. Cryptocurrency Interaction
The bot supports basic on-chain actions:

Creates and manages an Ethereum wallet
Sends small crypto tips under defined rules
Interfaces with blockchain APIs via ethers.js
Logs transaction history and recipient data
Keeps keys and sensitive data encrypted and isolated
While we're launching this alongside the $PANEL token on Solana, the current implementation is Ethereum-based and platform-agnostic.

3. Scalable Architecture

The codebase is structured for adaptability:

Supports multiple LLM providers and prompt configurations
Easily extendable to additional platforms
Designed for external contributions and modular development
Can integrate with multiple chains and token types
Architecture Diagram
Architecture Diagram

This diagram illustrates the data flow between the API gateway, microservices, and the database layer.

Features

TypeScript Backend

   Built with modern async patterns, type safety, and full access to the npm ecosystem.

LLM Integration

   Utilizes Claude API to handle message generation, with support for context tracking and prompt customization.

Secure Key Management

   -All sensitive information is stored via environment variables

   -Private keys are never exposed in the codebase

   -Basic encryption and access control included

Event-Driven Workflow

   -Polls for new Twitter events on an interval
   -Processes each item through a decision engine
   -Implements retries, backoff strategies, and rate-limit handling

Safety & Moderation

   -Prompt filters and response checks to avoid inappropriate output
   -Basic anti-spam logic
   -Activity logging for transparency and debugging

Project Structure

Quote

src/
├── index.ts # Entry point
├── services/ # Core logic modules
│ ├── TwitterApi.ts # Twitter integration
│ ├── LLMClient.ts # Language model integration
│ └── WalletManager.ts # Wallet and transaction handling
└── types/ # Shared TypeScript types
└── index.ts

Setup

Requirements

Node.js v16+
Twitter Developer credentials
Claude API key
Ethereum-compatible RPC endpoint
Optional: Existing wallet private key

Configuration

Create a .env file with the following:

Quote

TWITTER_API_KEY=
TWITTER_API_SECRET=
TWITTER_ACCESS_TOKEN=
TWITTER_ACCESS_TOKEN_SECRET=

CLAUDE_API_KEY=

WALLET_PRIVATE_KEY=
ETH_RPC_URL=