ThreeAgents is built in Python, leveraging OpenAI's chat completions API to instantiate multiple AI agents with distinct roles (system, assistant, user). It provides abstractions for agent prompting, role-based message handling, and context memory management. Developers can define custom prompt templates, configure agent personalities, and chain interactions to simulate realistic dialogues or task-oriented workflows. The framework handles message passing, context window management, and logging, enabling experiments in collaborative decision-making or hierarchical task decomposition. With support for environment variables and modular agents, ThreeAgents allows seamless swapping between OpenAI and local LLM backends, facilitating rapid prototyping of multi-agent AI systems. It ships with example scripts and Docker support for quick setup.

The EVM Agent Kit offers a modular architecture to construct intelligent agents that seamlessly interact with Ethereum networks. At its core, it leverages large language models to generate instruction chains parsed into JSON-RPC calls for on-chain data retrieval and transaction execution. Developers can plug in custom logic for wallet management, gas estimation, and result validation. The kit includes templates for scenarios like token swaps, contract audits, and on-chain analytics. By abstracting low-level EVM complexities, it enables rapid prototyping of agents that can monitor wallet balances, decode smart contract events, and autonomously execute trades based on predefined strategies. Extensible connectors allow integration with major LLM providers and blockchain networks, ensuring flexibility in agent design.