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 | Models                       | Pre-trained models that can be utilized for various tasks within the swarm framework.                                                                                  | ⭐⭐⭐                    | [Documentation](https://docs.swarms.world/en/latest/swarms/models/)            |
 | Models APIs                  | APIs to interact with and utilize the models effectively, providing interfaces for inference, training, and fine-tuning.                                               | ⭐⭐⭐                    | [Documentation](https://docs.swarms.world/en/latest/swarms/models/)            |
 | Agents with Tools            | Agents equipped with specialized tools to perform specific tasks more efficiently, such as data processing, analysis, or interaction with external systems.            | ⭐⭐⭐⭐                   | [Documentation](https://medium.com/@kyeg/the-swarms-tool-system-functions-pydantic-basemodels-as-tools-and-radical-customization-c2a2e227b8ca)            |
-| Memory                       | Mechanisms for agents to store and recall past interactions, improving learning and adaptability over time.                                                            | ⭐⭐⭐⭐                   | [Documentation]()            |
+| Agents with Memory                       | Mechanisms for agents to store and recall past interactions, improving learning and adaptability over time.                                                            | ⭐⭐⭐⭐                   | [Documentation]()            |
 | Multi-Agent Orchestration    | Coordination of multiple agents to work together seamlessly on complex tasks, leveraging their individual strengths to achieve higher overall performance.              | ⭐⭐⭐⭐⭐                  | [Documentation]()            |

 The performance impact is rated on a scale from one to five stars, with multi-agent orchestration being the highest due to its ability to combine the strengths of multiple agents and optimize task execution.