Show HN: Tenure – Traceable AI memory with configurable memory modes

Category: infrastructure

Tags: ai-memory, llm-tooling, state-management

Score: 7.8/10 (Innovation: 8, Technical: 8, Documentation: 8, Utility: 7)

Tenure provides structured, traceable AI memory with configurable modes (document-driven, curated, adaptive, reflective) and hard scope isolation, solving context bleed and drift in LLM applications. Its innovative approach treats memory as versioned state with provenance and supersession chains rather than fuzzy retrieval, making it valuable for teams needing controllable AI context.

Target audience: backend devs, devops, ai engineers

Repository: https://tenureai.dev/ · TypeScript · MIT · 12 stars

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