MetaGPT — Vulnerabilities & Security Advisories 17

This page aggregates security vulnerabilities associated with the software product MetaGPT, specifically focusing on implementation flaws within its multi-agent framework and related components. The collection encompasses a diverse range of reported weaknesses, including logic errors in agent orchestration, potential injection risks in prompt processing pipelines, and configuration missteps that could expose internal system states. These entries cover disclosures published from the product's initial public release through the most recent quarterly security updates, providing a comprehensive historical record of identified risks. Readers can utilize this resource to track the vendor's advisory patterns over time, analyze the prevalence of specific weakness classes within large language model applications, and review the complete vulnerability history for MetaGPT to assess its long-term security posture. By examining these aggregated records, developers and security professionals can identify recurring themes in the product's design, understand how previous issues were remediated, and anticipate potential attack surfaces that may emerge as the framework evolves. This data serves as a factual reference for risk assessment, enabling stakeholders to make informed decisions regarding the deployment and monitoring of MetaGPT in production environments without relying on fragmented or isolated security reports.