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.
$ npx skills add memvid/memvidAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
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.
$ npx skills add memvid/memvidAll-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
$ npx skills add sigoden/aichat📚 从零开始构建大模型
$ npx skills add datawhalechina/happy-llmThe LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
$ npx skills add PacktPublishing/LLM-Engineers-HandbookCurated list of the best truly open-source AI projects, models, tools, and infrastructure.
$ npx skills add alvinreal/awesome-opensource-ai每个人都能看懂的大模型知识分享,LLMs春/秋招大模型面试前必看,让你和面试官侃侃而谈
$ npx skills add luhengshiwo/LLMForEverybodyA community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
$ npx skills add Andrew-Jang/RAGHubGenerative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
$ npx skills add NVIDIA/GenerativeAIExamplesThis repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
$ npx skills add NirDiamant/Controllable-RAG-Agent📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
$ npx skills add datawhalechina/hello-agentsLangchain-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
$ npx skills add chatchat-space/Langchain-Chatchat[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
$ npx skills add HKUDS/LightRAGA modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragOpen Source AI Platform - AI Chat with advanced features that works with every LLM
$ npx skills add onyx-dot-app/onyxAn open-source RAG-based tool for chatting with your documents.
$ npx skills add Cinnamon/kotaemonAn AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
$ npx skills add coze-dev/coze-studioHow 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 Llm App 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.