Kernel Memory
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Overview
HEALTH SCORE
Fair
63out of 100
Security posture drags the score down. Development cadence and maintainer coverage help keep it from falling further.
LIFECYCLE
Stable
Mature and deliberately low-activity. The maintainer is reachable and there are no open issues or vulnerabilities that require attention.
Health breakdown
Fair(63/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 16 organizations.
Project Achievements
Leaderboards
About
Kernel Memory is an AI service and SDK that provides document ingestion, storage, and retrieval capabilities with semantic search and AI reasoning. It enables applications to efficiently process, index, and query documents using natural language, supporting multiple data sources and AI models.
First commit
Software value
$4.7M
Tags
indexing
llm
memory
rag
semantic-search
License(s)
MIT
Data sources
Git
GitHub