​
Smart Wallet Abstractions

ERC-4337 Compatibility

Allows for meta-transactions and custom transaction rules (like gas sponsorship).

Agent-Specific Wallets

Each agent has a dedicated wallet address, isolating risks and ensuring user-controlled budgets.

Granular Permissions

Users can define max-spend amounts, transaction frequency, or whitelisted tokens to prevent misuse.

​
Plugin System

Composable Modules

Each plugin addresses a specific function—swapping on a DEX, pulling price data, minting NFTs, etc.

External Oracles

Price feeds, weather data, social media APIs, chain analytics—accessible through standardized interfaces.

Plugin Manager

A registry that enforces version control, ensuring older plugin versions remain usable while new updates roll out.

​
AI & ML Integration

1

Language Models

GPT-based or similarly advanced LLMs can parse instructions, generate code snippets, and adapt logic based on real-time data.

2

Custom ML Inferences

Agents can plug into specialized models (e.g., sentiment analysis for crypto Twitter, anomaly detection for wallet transactions).

3

Data Pipeline

A robust pipeline that fetches, normalizes, and caches external data before passing it to AI models for decision-making.

​
Supported Networks & Protocols

​
Smart Wallet Abstractions

ERC-4337 Compatibility

Allows for meta-transactions and custom transaction rules (like gas sponsorship).

Agent-Specific Wallets

Each agent has a dedicated wallet address, isolating risks and ensuring user-controlled budgets.

Granular Permissions

Users can define max-spend amounts, transaction frequency, or whitelisted tokens to prevent misuse.

​
Plugin System

Composable Modules

Each plugin addresses a specific function—swapping on a DEX, pulling price data, minting NFTs, etc.

External Oracles

Price feeds, weather data, social media APIs, chain analytics—accessible through standardized interfaces.

Plugin Manager

A registry that enforces version control, ensuring older plugin versions remain usable while new updates roll out.

​
AI & ML Integration

1

Language Models

GPT-based or similarly advanced LLMs can parse instructions, generate code snippets, and adapt logic based on real-time data.

2

Custom ML Inferences

Agents can plug into specialized models (e.g., sentiment analysis for crypto Twitter, anomaly detection for wallet transactions).

3

Data Pipeline

A robust pipeline that fetches, normalizes, and caches external data before passing it to AI models for decision-making.

​
Supported Networks & Protocols