alma-memory is an open-source Python library that provides persistent memory architecture for AI agents. It supports hybrid search, retrieval-augmented generation (RAG), and integrates with Azure and Anthropic models, making it ideal for developers building advanced AI systems.
alma-memory sits in PulseGate's RAG, search & retrieval category. It focuses on enabling AI agents to store and retrieve persistent memory for improved context and learning. It is built as an open-source project for AI developers. The project is open source (MIT). It ships for the command line, and it can be self-hosted.
RBKunnela builds and maintains alma-memory, and it first shipped in 2026. The project is developed in the open on GitHub with 45 stars and 66 commits in the last 90 days. Key capabilities include persistent memory, hybrid search, and RAG support.
Summary written by a language model from the project’s public pages.
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