Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
$ npx skills add DEEP-PolyU/Awesome-GraphRAGAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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The Open Source Memory Layer For Autonomous Agents
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
$ npx skills add DEEP-PolyU/Awesome-GraphRAGYC S26 | WUPHF is a collaborative office of AI employees who build and maintain their own knowledge base to never lose context for the tasks you give them. Supports Claude Code, Codex, OpenClaw and local LLMs via OpenCode.
$ npx skills add nex-crm/wuphf[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
$ npx skills add HKUDS/LightRAGcode and resources used in the Going Meta sessions
$ npx skills add jbarrasa/goingmetahigh-performance graph database for real-time use cases
$ npx skills add dgraph-io/dgraphKAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
$ npx skills add OpenSPG/KAGResearch project. A Memory solution for users, teams, and applications.
$ npx skills add microsoft/kernel-memorySpec-driven development for large codebases
$ npx skills add potpie-ai/potpiePipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation
$ npx skills add pipeshub-ai/pipeshub-aiA project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
$ npx skills add emarco177/langchain-courseUniversal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
$ npx skills add MemMachine/MemMachineJupyter Notebooks to help you get hands-on with Pinecone vector databases
$ npx skills add pinecone-io/examplesEasily compute clip embeddings and build a clip retrieval system with them
$ npx skills add rom1504/clip-retrievalA knowledge graph and a set of tools for drug repurposing
$ npx skills add gnn4dr/DRKG🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
$ npx skills add AnacletoLAB/grapeOpen-source tool to visualise your RAG 🔮
$ npx skills add gabrielchua/RAGxplorerHow to choose
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 Memary if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.