m-zest/parity_swarn_v2.2

The project 'parity_swarn_v2.2' is currently in a very early stage with negligible adoption (1 star, 0 forks) and no recent development velocity. While the concept of using multi-agent social simulations for red-teaming is a relevant and growing area of AI safety research, this repository lacks the technical depth or community momentum to compete with established frameworks like Microsoft's AutoGen, Meta's SocialAGI, or specialized safety evaluation platforms like Giskard or Scale AI's red-teaming suites. Frontier labs (OpenAI, Anthropic) are heavily invested in internal multi-agent safety evaluations, making this a high-risk area for small, unproven projects. The 'v2.2' moniker suggests internal iterations, but as an open-source project, it currently serves more as a personal experiment or a specific research reference implementation rather than a defensible product or infrastructure component. Its displacement horizon is short because general-purpose agent frameworks can easily replicate this functionality as a template or plugin.