@Gelo
To ensure that your assistants are not referencing a shared memory, you can perform the following checks:
1. **Configuration Files**: Review the configuration files for each assistant to confirm that they point to separate memory storage locations or databases.
2. **Initialization Parameters**: When initializing each assistant, make sure that any parameters related to memory or state management are unique to each instance.
3. **Knowledge Base Assignment**: Double-check that the knowledge base files are correctly assigned and that there is no accidental sharing of files between assistants.
4. **Isolation Test**: Conduct a test by providing inputs that only one assistant should know based on its knowledge base. If another assistant responds with that knowledge, it indicates a memory sharing issue.
5. **Documentation Review**: Consult the documentation of the platform or framework you are using for creating the assistants to understand how memory management is handled.
6. **Platform Support**: If you're using a third-party platform, check their support resources or contact their support team for guidance on memory isolation between assistants.
If after these checks you're still unsure or the issue remains unresolved, it may be necessary to reach out to the platform's support team for further assistance. Would you like help with contacting support, or is there anything else specific you'd like to know?