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.
AI智能体的记忆层。用无服务器、单文件的记忆层替代复杂的RAG流水线。为你的智能体提供即时检索和长期记忆。
How to install
No unified install command; see the repository README.
About
src="https://github.com/user-attachments/assets/cf66f045-c8be-494b-b696-b8d7e4fb709c" /> Persistent, versioned, and portable memory, without databases. · · · Benchmark Highlights **🚀 Higher accuracy than any other memory system :** +35% SOTA on LoCoMo, best-in-class long-horizon conversational recall & reasoning **🧠 Superior multi-hop & temporal reasoning:** +76% multi-hop, +56% temporal vs. the industry average **⚡ Ultra-low latency at scale** 0.025ms P50 and 0.075ms P99, with 1,372× higher throughput than standard **🔬 Fully reproducible benchmarks:** LoCoMo (10 × ~26K-token conversations)…
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Meta
- License
- Apache-2.0
- Language
- Rust
- GitHub stars
- 16.6K
- mo. downloads
- –
- Last push
- 2026-07-14
- Created
- 2025-05-27
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:punkpeye/awesome-mcp-servers
- Topics
- ai, context, embedded, faiss, knowledge-base, knowledge-graph, llm, machine-learning, memory, memvid, mv2, nlp, offline-first, opencv, python, rag, retrieval-augmented-generation, semantic-search, vector-database, video-processing
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