Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
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.
$ npx skills add arc53/DocsGPT21 Lessons, Get Started Building with Generative AI
$ npx skills add microsoft/generative-ai-for-beginnersSuperduper: End-to-end framework for building custom AI applications and agents.
$ npx skills add superduper-io/superduperOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
$ npx skills add Tencent/WeKnora💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
$ npx skills add neuml/txtaiFind related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.
$ npx skills add brianpetro/obsidian-smart-connectionsThe no-code platform for building custom LLM Agents
$ npx skills add gmpetrov/databerryA modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
$ npx skills add aws-samples/aws-genai-llm-chatbotThe Linux OS for AI Agents — Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.
$ npx skills add winstonkoh87/Athena-PublicSemantic search over videos using Gemini Embedding 2 or Qwen3-VL.
$ npx skills add ssrajadh/sentrysearchThe collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
$ npx skills add EmbeddedLLM/JamAIBaseThis is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt composes from modular trinkets. I would like to think I've made an elegant brain-in-box. You load it and send cURL requests - it talks back, learns, and uses tools. Contributions welcome.
$ npx skills add taylorsatula/mira-OSSMTEB: Massive Text Embedding Benchmark
$ npx skills add embeddings-benchmark/mtebA curated list of Generative AI tools, works, models, and references
$ npx skills add filipecalegario/awesome-generative-aiRepresent, send, store and search multimodal data
$ npx skills add docarray/docarrayLocal-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
$ npx skills add vasu-devs/JustHireMeHow 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 GPTCache 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.