Acknowledgments

April 27, 2026 · View on GitHub

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Thanks to the following projects, communities, and individuals for their inspiration and support.

Inspiration & References

Memos

Thank you to the Memos project for providing a comprehensive, standardized open-source note-taking service that has provided valuable inspiration for our memory system design.

Nemori

Thank you to the Nemori project for providing a self-organising long-term memory substrate for agentic LLM workflows that has provided valuable inspiration for our memory system design.

Open Source Libraries

EverCore is built on top of excellent open-source libraries and frameworks:

Core Framework

FastAPI - Modern, fast web framework for building APIs
Python - Programming language
uv - Fast Python package manager

Storage & Search

MongoDB - Document database
Elasticsearch - Search and analytics engine
Milvus - Vector database
Redis - In-memory data store

AI/ML

OpenAI - LLM APIs
DeepInfra - Embedding and reranking services

Development Tools

Docker - Containerization platform
Beanie - Async ODM for MongoDB

Contributors

Thanks to all the developers who have contributed to this project!

See the full list of contributors on GitHub.

Community

Thanks to our community for their valuable feedback, bug reports, and feature suggestions:

GitHub Issues & Discussions - For bug reports and feature requests
Discord - Join our Discord server
Reddit Community - r/EverMindAI
X/Twitter - @EverMindAI

Supporting Organizations

Shanda Group - For supporting the development of EverCore

Special Thanks

To everyone who has starred the repository
To those who have shared EverCore with others
To researchers and developers using EverCore in their projects

Want to Contribute?

We welcome contributions! See our Contributing Guide to get started.

See Also