#1
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
9.2K starsMay 21, 2026 pushrag-knowledgeC++Vector Search
$ npx skills add activeloopai/deeplakeAlternatives
Kube Llmops alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Kube Llmops
GaeaRuiW/kube-llmops is a high-star GitHub project relevant to AI agent workflows.
72
Quality
80
Trust
123
Stars
#2
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
16K starsJun 18, 2026 pushrag-knowledgeGoSemantic Search
$ npx skills add Tencent/WeKnora#3
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
30K starsAug 14, 2026 pushrag-knowledgePythonVector Search
$ npx skills add topoteretes/cognee#4
21 Lessons, Get Started Building with Generative AI
112K starsJun 21, 2026 pushrag-knowledgeJupyter NotebookSemantic Search
$ npx skills add microsoft/generative-ai-for-beginners#5
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
37K starsJun 18, 2026 pushrag-knowledgePythonKnowledge Graph
$ npx skills add HKUDS/LightRAG#6
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
34K starsJul 18, 2026 pushrag-knowledgePythonVector Search
$ npx skills add VectifyAI/PageIndex#7
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
28K starsJun 17, 2026 pushrag-knowledgeJupyter NotebookSemantic Search
$ npx skills add NirDiamant/RAG_Techniques#8
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
59K starsJul 18, 2026 pushrag-knowledgeRustSemantic Search
$ npx skills add meilisearch/meilisearch#9
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
18K starsJul 16, 2026 pushrag-knowledgePythonSemantic Search
$ npx skills add arc53/DocsGPT#10
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 pushrag-knowledgeRustSemantic Search
$ npx skills add memvid/memvid#11
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
13K starsJun 22, 2026 pushrag-knowledgePythonSemantic Search
$ npx skills add neuml/txtai#12
Incremental engine for long horizon agents 🌟 Star if you like it!
10K starsJun 19, 2026 pushrag-knowledgeRustSemantic Search
$ npx skills add cocoindex-io/cocoindex#13
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
17K starsJul 24, 2026 pushrag-knowledgeGoSemantic Search
$ npx skills add weaviate/weaviate#14
high-performance graph database for real-time use cases
22K starsJun 19, 2026 pushrag-knowledgeGoKnowledge Graph
$ npx skills add dgraph-io/dgraph#15
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
9.4K starsJul 18, 2026 pushrag-knowledgeRustVector Search
$ npx skills add databendlabs/databend#16
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
70K starsAug 3, 2026 pushrag-knowledgePythonKnowledge Graph
$ npx skills add 666ghj/MiroFishHow 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 Kube Llmops 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.