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Comprehensive Entwickler-SDK Tools for Every Need

Get access to Entwickler-SDK solutions that address multiple requirements. One-stop resources for streamlined workflows.

Entwickler-SDK

  • Secure Agent Augmentation

    An open-source framework that secures LLM agent access to private data through encryption, authentication, and secure retrieval layers.
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    What is Secure Agent Augmentation?
    Secure Agent Augmentation provides a Python SDK and set of helper modules to wrap AI agent tool calls with security controls. It supports integration with popular LLM frameworks like LangChain and Semantic Kernel, and connects to secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager). Encryption-at-rest and in-transit, role-based access control, and audit trails ensure that agents can augment their reasoning with internal knowledge bases and APIs without exposing sensitive data. Developers define secured tool endpoints, configure authentication policies, and initialize an augmented agent instance to run secure queries against private data sources.
    Secure Agent Augmentation Core Features
    • Encrypted data retrieval and storage
    • Authentication and role-based access control
    • Integration with secret vaults (HashiCorp, AWS, Azure)
    • Audit logging and compliance reporting
    • Wrappers for LangChain and Semantic Kernel

  • Agent Protocol

    Agent Protocol is an open web3 protocol for creating autonomous AI Agents that execute tasks, transact on-chain, interact with APIs.
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    What is Agent Protocol?
    Agent Protocol is a decentralized framework that allows users to build AI Agents capable of interacting with smart contracts, external APIs, and other agents. It offers a no-code Agent Studio for visual workflow design, a Marketplace to publish and monetize agents, and an SDK for programmatic integration. Agents can initiate token payments, perform cross-chain operations, and dynamically adapt to real-time data, making them ideal for DeFi, NFT automation, and oracle services.
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