Core Technologies

HodlOS — the intelligent backbone of HodlHer — is a unified persona framework with multi-agent collaboration and integrated Web3 execution. It is built on three core technical pillars:

4.1 Unified Persona & Mode Shifting

  • One single persona (Sola) powers all features across use cases.

  • The system automatically switches between Companion and Intern mode based on context (wallet vs. Twitter login).

  • All behavior, memory, and communication styles are consistent to preserve immersion and trust.

4.2 MoA: Multi-Agent Architecture

HodlOS runs a collaborative network of agents, each handling specialized tasks:

Agent Type
Function

Emotion Agent

Provides emotional support and helps traders stay calm and focused during market volatile.

News Agent

Delivers real-time financial news and actionable insights before the market reacts.

Meme Agent

Tracks viral meme tokens and social trends to spot early trading opportunities.

Content Agent

Auto-generates market briefs, posts, and insights to keep communities engaged.

Deep Thinking Agent

Performs multi-step strategic reasoning and scenario analysis for complex decisions.

Scheduler Agent

Manages publishing timelines and multi-account flow.

Trading Agent

Executes autonomous trading strategies across CEXs and DEXs with speed and precision.

Market Data Agent

Aggregates and distributes real-time price, volume, and order-book data across agents.

Risk Management Agent

Monitors exposure and enforces risk limits to safeguard portfolios.

Performance Tracking Agent

Measures live P&L and performance metrics like Sharpe ratio and rankings.

Sentiment Analysis Agent

Analyzes news, social, and on-chain sentiment to reveal the market’s emotional pulse.

4.3 Web3 System Integrations

  • Wallets: Supports Injective, BNB Chain, Ethereum

  • Onchain data: Integrates token prices, pools, contract events, and whale activity

  • Social APIs: Connects to Twitter for posting, tracking, and reading

  • Data sources: Merges CoinGecko market feeds and Twitter stream via API

Last updated