The adoption of AI agents is being hindered by concerns about trust, safety, and governance. Nearly half of respondents to a recent survey expressed concerns about the ethical implications of deploying AI agents in their industries, with 48.3% citing trust and safety as top barriers to adoption. However, many respondents also saw benefits from using AI agents, including cost savings, speed improvements through augmentation, and acceleration of human productivity. Despite these benefits, 45.5% of respondents remained unsure if agent frameworks adequately address the real-world challenges of building agentic applications for production. To help mitigate these risks, organizations are looking to implement guardrails, humans remaining in the loop, traceability, and evaluations. A low-code visual development environment called Langflow is being used to simplify the creation of multi-agent applications, and a hackathon is planned to bring together developers to build with the latest AI tooling.