memvid
A single-file in-memory layer for AI agents providing instant retrieval and long-term memory.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 15.6k
- Source
- GitHub
- Added
- 2026-06-05
- Last verified
- 2026-06-05
- GitHub
- github.com/memvid/memvid
Overview
Memvid is a single-file memory layer designed for AI agents, intended to replace complex RAG pipelines. It offers instant retrieval and long-term memory capabilities without relying on databases or servers. By bundling data, embeddings, search structures, and metadata into a single file, Memvid delivers a model-agnostic, infrastructure-free memory layer, enabling AI agents to carry persistent memories.
Key features
- ▪Single-file memory layer
- ▪Instant retrieval and long-term memory
- ▪No database required
- ▪Efficient compression and indexing
Use cases
Pros
- ＋Simplifies deployment
- ＋Improves query speed
- ＋Enhances data security
Limitations / notes
- －May not be suitable for large-scale data processing
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Does Memvid require specific hardware support?
No, Memvid is designed as a serverless architecture and enables fast retrieval directly from the file.
Which programming languages does Memvid support?
Currently primarily supports Rust, but provides cross-platform API interfaces.
Something wrong? Let us know on the About page and we'll fix it.