schwabauerbriantomas-gif/m2m-vector-search
Edge Vector search engine with Vulkan GPU acceleration, hierarchical indexing (HRM2), and native LangChain integration. Gaussian splat-based architecture for similarity search on resource-constrained devices.
This helps AI developers and data scientists build 'memory' into their AI agents or applications. You feed it text and related information, and it efficiently stores and retrieves relevant data based on meaning, not just keywords. This allows AI agents to remember past interactions and information, enabling more context-aware responses and actions.
Available on PyPI.
Use this if you need an AI agent to remember past information, conversations, or decisions and retrieve them quickly and intelligently, especially on devices with limited computing power.
Not ideal if you simply need to store and retrieve exact keyword matches in a traditional database or if you're not working with semantic understanding for AI applications.
Stars
24
Forks
9
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
9
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