kyegomez/swarms is a Python orchestration framework that binds multiple AI agents together into a single group (swarm) and runs them together. The latest release as of the repository is 6.8.1, and the source of the version information is the kyegomez/swarms repository.
The core of this framework is building compositions that run multiple agents sequentially, concurrently, and hierarchically, and providing various collaboration topologies and agent task allocation through a real execution API. The README covers basic installation, agent run examples, and Docker usage, while the optional quick-install feature adds separate components for the model call path and graph execution. It also supports several external integrations, including MCP (Model Context Protocol). The license is Apache-2.0, the primary language is Python, and the repository was created on 2023-05-11. It has 7,284 stars, and the documented website is swarms.ai.
However, the changelog for 6.8.1 is not available in the given material, so what this version changed cannot be confirmed. The evaluation scores have no novelty, technology, or quality items, and only momentum remains, at a low 3.1 out of 10. It can be seen as a tool for actually building and using multi-agent run configurations, but it is still too early to use 6.8.1 as the basis for choosing it.