JtPerez-Acle/chrono-mind

ChronoMind: Redefining Vector Intelligence Through Time.

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Emerging

ChronoMind helps developers create systems that can search through vast amounts of information, prioritizing the most recent or relevant data. You feed it numerical representations of information (vectors) along with time-based metadata, and it quickly returns the most similar items, intelligently weighing their importance over time. This is ideal for developers building AI applications that need to understand context and memory.

No commits in the last 6 months.

Use this if you are a developer building a single-node application that needs a high-performance, memory-efficient way to search vector data where the age or importance of information changes over time.

Not ideal if you need a vector database designed for large-scale distributed deployments or if you require extensive third-party integrations already built for more mature systems like Milvus or FAISS.

AI-application-development vector-search real-time-data-processing memory-management information-retrieval
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 4 / 25

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Stars

74

Forks

2

Language

Rust

License

Apache-2.0

Last pushed

May 01, 2025

Commits (30d)

0

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