repoGitHubTrust 82 · PrimaryPublished 11d agoLive · yesterday
remete618/widemem-ai
Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 55%Anatomy of Persistent Memory's 3 Layers: Comparing ContextNest, Mem0 and Zep →
- PossiblePossibly related (embedding) · 54%MemSyco-Bench: Benchmarking Sycophancy in Agent Memory →
- PossiblePossibly related (embedding) · 53%Selective Memory Retention for Long-Horizon LLM Agents →
- PossiblePossibly related (embedding) · 49%OpenAI and Broadcom unveil LLM-optimized inference chip →
- PossiblePossibly related (embedding) · 49%Understanding Large Language Models →
- PossiblePossibly related (embedding) · 51%Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach →
- PossiblePossibly related (embedding) · 47%Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis →
Covers
Implements
Covers (incoming)
Implements (incoming)
Related across the graph
newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsAnatomy of Persistent Memory's 3 Layers: Comparing ContextNest, Mem0 and ZepnewsChoosing the Right AI Agent Memory Strategy: A Decision-Tree ApproachpaperSimilarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture SynthesispaperUnderstanding Large Language ModelspaperSelective Memory Retention for Long-Horizon LLM AgentspaperMemSyco-Bench: Benchmarking Sycophancy in Agent Memory