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OpenAI presented Assistify with a range of challenging tasks, featuring tight latency requirements, substantial ambiguity, and instances of incorrect answers. In turn, Assistify collaborated closely to tailor their QA systems to our specific requirements.
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Frequently Asked Questions
MemMachine is an open-source, multi-layered memory system for AI agents. It allows you to equip your agents with Short-Term, Long-Term, and Personalization memory. While many AI models offer some form of built-in memory, MemMachine’s system is model-agnostic, meaning it can support multiple AI models simultaneously, including specialized models hosted in a private cloud or on-premises data center. This capability enables organizations to maintain full control of their data and work with various models without vendor lock-in.
MemMachine is primarily designed for Agent developers and organizations building AI applications. It provides a flexible and scalable memory system that can be integrated into various AI models, allowing developers to enhance their applications with advanced memory capabilities.
Because a frontier lab’s memory service keeps the memory, and its memory service does not work with other models. Many organizations work with multiple models, including specialized models deployed in its private environment, including its VPC in the cloud and its own on-prem data center. They desire a memory system that can support all of these models.
MemMachine is designed with security in mind. The open-source version can be deployed in your private cloud or on-premises environment, giving you full control over your data.
The project was initially incubated by MemVerge to its current state. The project is now community-driven, and we welcome contributors of all backgrounds. MemVerge will continue to assign its engineering team to improve the memory system and support community efforts.
You can get started by visiting our documentation
The source code for MemMachine is available on GitHub
We welcome contributions from the community! You can contribute by reporting issues, suggesting features, or submitting pull requests on our GitHub repository.
You can get support through our community channels by joining our Discord server or filing an issue on our GitHub repository.
An Enterprise version of MemMachine with additional features and dedicated support will be available soon.