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.

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.

Flush AI is a cloud-based solution designed for developers to create and manage generative image AI models using stable diffusion technology. The platform provides tools for building, fine-tuning, and deploying these models, making it easy to generate AI art in various styles. It offers an SDK for seamless integration into other applications, allowing developers to automate and streamline their AI workflows.