repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
memvid/memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
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) · 59%We're building agents that can read millions of documents, but still forget a video they watched yesterday. →
- PossiblePossibly related (embedding) · 57%I built an open-source memory governance layer for AI assistants - looking for technical feedback [P] →
- PossiblePossibly related (embedding) · 30%MemSyco-Bench: Benchmarking Sycophancy in Agent Memory →
“Possibly related via embedding similarity 0.59 (not asserted). Timestamp check: artifact after paper (+9d).”
- PossiblePossibly related (embedding) · 27%MemTools: A Unified Research Framework for Interoperable Agent Memory →
“Possibly related via embedding similarity 0.60 (not asserted). Timestamp check: artifact slightly before paper (-13d).”
Covers
Related to (incoming)
Related across the graph
newsWe're building agents that can read millions of documents, but still forget a video they watched yesterday.newsI built an open-source memory governance layer for AI assistants - looking for technical feedback [P]paperMemTools: A Unified Research Framework for Interoperable Agent MemorypaperMemSyco-Bench: Benchmarking Sycophancy in Agent Memory