redis-vl-python — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by redis · MCP Server · ★ 423

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is redis-vl-python safe to install? View the security audit →

About redis-vl-python

Redis Vector Library The AI-native Redis Python client Documentation • Recipes • GitHub Introduction Redis Vector Library (RedisVL) is the production-ready Python client for AI applications built on Redis. Lightning-fast vector search meets enterprise-grade reliability. Perfect for building RAG pipelines with real-time retrieval, AI agents with memory and semantic routing, and recommendation systems with fast search and reranking

anthropicembeddinghuggingfacelarge-language-modelsllmllmcachemcpopenaipythonredis

Quick Facts

Stars423
Forks96
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score66.9196476878015/100
Open Issues53
Last Updated2026-08-17
Created2022-11-04
Platformscli, mcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with redis-vl-python for enhanced workflows:

  • RAGLight — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • code-graph-rag — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • mcp-memory-service — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • relevanceai — semantic(0.38)+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • AgentChat — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

redis-vl-python alternative? Top 6 similar tools

Looking for a redis-vl-python alternative? If you're comparing redis-vl-python with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • autollm by viddexa · ⭐ 1.0k

    Ship RAG based LLM web apps in seconds.

  • ai-microcore by Nayjest · ⭐ 107

    A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.

  • tools by strands-agents · ⭐ 1.2k

    A set of tools that gives agents powerful capabilities.

  • SearChat by sear-chat · ⭐ 1.0k

    Search + Chat = SearChat(AI Chat with Search), Support OpenAI/Anthropic/VertexAI/Gemini, DeepResearch, SearXNG

  • RAGLight by Bessouat40 · ⭐ 670

    RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in differen

  • SimplerLLM by hassancs91 · ⭐ 219

    Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek,

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is redis-vl-python?

redis-vl-python is Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.. It is categorized as a MCP Server with 423 GitHub stars.

What programming language is redis-vl-python written in?

redis-vl-python is primarily written in Python. It covers topics such as anthropic, embedding, huggingface.

How do I install or use redis-vl-python?

You can find installation instructions and usage details in the redis-vl-python GitHub repository at github.com/redis/redis-vl-python. The project has 423 stars and 96 forks, indicating an active community.

What license does redis-vl-python use?

redis-vl-python is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to redis-vl-python?

The top alternatives to redis-vl-python on Agent Skills Hub include autollm, ai-microcore, tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

View on GitHub → Browse MCP Server tools