#1
A modular graph-based Retrieval-Augmented Generation (RAG) system
34K starsJun 5, 2026 pushdataPythonRAG
$ npx skills add microsoft/graphragAlternatives
LightRAG alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
LightRAG
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
100
Quality
100
Trust
36K
Stars
#2
open-source agentic AI data assistant for the next generation of AI + Data products.
19K starsJun 8, 2026 pushdataPythonRAG
$ npx skills add eosphoros-ai/DB-GPT#3
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
2.4K starsJun 2, 2026 pushdataRAGClaude Code
$ npx skills add DEEP-PolyU/Awesome-GraphRAG#4
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
60K starsJun 6, 2026 pushdataPythonRAG
$ npx skills add safishamsi/graphify#5
Neo4j graph construction from unstructured data using LLMs
4.7K starsJun 4, 2026 pushdataJupyter NotebookRAG
$ npx skills add neo4j-labs/llm-graph-builder#6
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
4.1K starsMay 29, 2026 pushdataJupyter NotebookRAG
$ npx skills add NVIDIA/GenerativeAIExamples#7
Structured data extraction and instruction calling with ML, LLM and Vision LLM
5.2K starsJun 9, 2026 pushdataPythonRAG
$ npx skills add katanaml/sparrow#8
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
5.1K starsApr 22, 2026 pushdataPythonRAG
$ npx skills add PacktPublishing/LLM-Engineers-Handbook#9
Harness LLMs with Multi-Agent Programming
4.0K starsJun 10, 2026 pushdataPythonRAG
$ npx skills add langroid/langroid#10
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
3.0K starsJun 9, 2026 pushdataPythonRAG
$ npx skills add swirlai/swirl-search#11
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
2.9K starsJun 2, 2026 pushdataPythonRAG
$ npx skills add SamurAIGPT/llm-wiki-agent#12
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
25K starsJun 5, 2026 pushdataMDXRAG
$ npx skills add deepset-ai/haystack#13
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.
16K starsMay 27, 2026 pushdataRustRAG
$ npx skills add memvid/memvid#14
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
58K starsJun 8, 2026 pushdataPythonRAG
$ npx skills add datawhalechina/hello-agents#15
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
38K starsNov 10, 2025 pushdataPythonRAG
$ npx skills add chatchat-space/Langchain-Chatchat#16
Open Source AI Platform - AI Chat with advanced features that works with every LLM
30K starsJun 6, 2026 pushdataPythonRAG
$ npx skills add onyx-dot-app/onyxHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep LightRAG if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.