O

Memvid

VERIFIED

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.

Downloads 0
Stars 15.6K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add memvid/memvid

Best for

RAG and knowledge

Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.

Choose it when

  • You want a GitHub-backed skill with 15.6K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 16d ago
  • License: Apache-2.0
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
16K
Freshness
16d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

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.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

rustFULL
ragFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

RustRAG

Install

Free and open source

Compare AlternativesView on GitHubDocumentation

Author

M

memvid✓

@memvid

Tags

ragretrievalaicontextembeddedfaissknowledge-baseknowledge-graphllmmachine-learning

Platform Fit

Claude Code

Health Signals

GitHub stars
15.6K
Quality score
73/100
Last GitHub push
May 6, 2026
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • —Open source (public GitHub repo)
  • —AI static analysis passed
  • —License: Apache-2.0
  • —Manually verified by team

Related Skills

MarkItDown

Convert documents into Markdown for agent-readable context

124.7K stars · 0 installs

Awesome Llm Apps

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

111.5K stars · 0 installs

RAGFlow

Build document intelligence and RAG workflows for agents

81.1K stars · 0 installs

PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

78.4K stars · 0 installs