- Hedera’s Python SDK supports multiple AI frameworks and enables AI agents to perform crypto-native actions such as payments, token management, and more.
- It supports use cases ranging from automated treasury and payment agents to on-chain messaging.
Hedera blockchain recently expanded its developer tools by releasing a Python Software Development Kit (SDK), a move that provides greater access to blockchain-enabled AI development. This new Python SDK is built for the Hedera Agent Kit and allows developers to work on both AI and DLT.
Python SDK extends the Hedera Agent Kit ecosystem
The Python SDK follows the previous launch of a JavaScript SDK and gives developers more flexibility in designing and deploying AI agents on the Hedera network. With the new release, developers can choose between popular AI frameworks such as LangChain, Vercel or the Model Context Protocol (MCP) to build agents that can interact with Hedera Testnet.
The Python SDK will focus more on allowing AI agents to initiate and manage crypto-native actions, including payments and transactions. By integrating blockchain with the workflows of AI agents, the SDK enables microtransactions and payments that would be difficult for an autonomous AI system to perform.
Hedera said Python was a natural next step for its AI Studio tooling. The Python SDK will integrate with LangChain v1.0, bringing LangChain and LangGraph into a single framework. This provides a consistent development experience for Python developers building AI agents that can interact with Hedera’s services.
Together with the latest LangChain architecture, the SDK aims to reduce friction for developers looking to combine large language models with on-chain execution and data.
The Hedera Agent Kit is an open source framework that allows AI agents to communicate directly with the Hedera network. The Python SDK comes with plugins for core account operations, token services, consensus messaging, smart contract execution, and network queries. Using these tools, agents can create and manage accounts, transfer HBAR, and distribute tokens.
Query plugins provide access to on-chain data including account balances, token information, transaction records, and exchange rates. Additionally, agents can monitor and respond to network status in real time.
Use cases for AI agents on Hedera
The Python SDK enables a wide range of applications such as automated treasury, payment agents, token management bots, smart contract interfaces, and on-chain messaging systems. Developers can also build monitoring and reporting tools that analyze balances, transactions, and token activity. Later, they can take necessary actions according to the predefined logic or natural language instructions.
Using its plugin-based architecture, the Hedera Agent Kit allows developers to bring its functionality to specific workflows. Thus, this Python SDK will work as a foundational tool for AI-driven, blockchain-native applications.