Data & Research · GitHub ·14,889 ★

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.

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Details

Author
memvid
Category
Data & Research
Platform
GitHub
Framework
custom
Language
rust
Stars
14,889
First indexed
2026-05-15
Last active
2026-03-16
Directory sync
2026-05-15
@memvid@memvidaiwww.memvid.comDiscord

Overview

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.

Quick start

git

git clone https://github.com/memvid/memvid

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What memvid can do

llmragdata
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is 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.
How do I install memvid?
Use git: `git clone https://github.com/memvid/memvid`. Full setup details on the source page linked above.
Is memvid open source?
memvid is published on GitHub.
What are alternatives to memvid?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for memvid is sourced from GitHub, published by memvid.

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