> For the complete documentation index, see [llms.txt](https://maiga.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://maiga.gitbook.io/docs/maiga-tech/ai-technology/key-elements.md).

# Key Elements

## Agent Operating System

**ElizaOS:** Maiga.ai will be built on top of ElizaOS, an open‑source framework for autonomous agents. This provides core features such as multi-agent support, memory retrieval, document ingestion, and customizable “character” configurations. 

[ElizaOS GitHub repo](https://github.com/elizaOS/eliza)

## Data Integration and Processing

Maiga.ai will incorporate multiple data streams to inform its trading and decision‐making: 

**Crypto Funding Rates:** Ingest data from exchanges (e.g., Binance, Bybit, Coinbase, OKX).

**Sentiment Analysis:** Use natural language processing (NLP) on Twitter, Telegram, and other social media data (potentially leveraging APIs like LunarCRUSH).

**Exchange Orderflow:** Interface with exchanges via standardized libraries (e.g., [CCXT](https://github.com/ccxt/ccxt)) to analyze order book data.

**Whale Wallet Tracking:** Integrate with blockchain explorers (e.g., Etherscan API, Whale Alert) to monitor large wallet activities.

A dedicated data layer will pre‑process, filter, and merge these inputs using machine learning algorithms (implemented in Python) so that the AI agent can react to market conditions.

## DeFAI Integration

**AUTOMATE by HeyAnonAI:** Maiga.ai will integrate with complementary DeFAI frameworks such as AUTOMATE to streamline task automation on multiple DeFi dapps integration.

[AUTOMATE Framework GitHub repo](https://github.com/RealWagmi/anon-integration-guide)

**ThirdFi API**

ThirdFi API: Maiga.ai will be using several APIs developed by ThirdFi such as on-off fiat-crypto ramps and crypto trading signals as data integration and processing.

[ThirdFi API documentation](https://thirdfi.readme.io/reference/introduction)

## Tokenomics and Economic Models

#### **Bonding Curve Model:**

To launch and scale the AI agent’s token economy, Maiga.ai will use a bonding curve mechanism similar to that popularized by Virtuals.io. This model sets the token price as a function of supply (with early buyers receiving a discount and later buyers paying a premium).

[Maiga.ai Bonding Curve Auto-Launchpads for AI Agents](https://maiga.gitbook.io/docs/maiga-tech/launchpad)

#### **Proof of Trading (PoT) Integration:**

Maiga.ai’s native token model is based on “Proof of Trading” (PoT) that rewards active trading volume and liquidity rather than linear vesting. This ensures fairer distribution and incentivizes market participation.

[Maiga.ai Proof of Trading Page](https://www.maiga.ai/proof-of-trading)

[Maiga PoT Documentation on GitBook](https://maiga.gitbook.io/docs/maiga-token/proof-of-trading)

## Relevant GitHub Repositories

Below is a list of the core repositories (with verified, original URLs) that form part of the Maiga.ai development ecosystem:

* **ElizaOS (Autonomous Agent Operating System):**\
   • <https://github.com/elizaOS/eliza>\
   – Provides the foundational framework for building AI agents.
* **ElizaOS Starter Template:**\
   • <https://github.com/elizaOS/eliza-starter>\
   – A template for quickly bootstrapping an agent project.
* **ElizaOS Characterfile (for defining agent personalities):**\
   • <https://github.com/elizaOS/characterfile>
* **AUTOMATE Framework by HeyAnonAI (for DeFAI integration):**\
   • <https://github.com/RealWagmi/anon-integration-guide>
* **Maiga.ai Proof of Trading Documentation:**\
   • <https://www.maiga.ai/proof-of-trading>\
   • [Maiga PoT on GitBook](https://maiga.gitbook.io/docs/maiga-token/proof-of-trading)
* **Virtuals Protocol Whitepaper (Reference for bonding curve economics):**\
   • <https://whitepaper.virtuals.io/>