Skip to content
store
ai-engineer

Self-hosted alternatives to ai-engineer

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About ai-engineer

A

ai-engineer

Build production-ready LLM applications, advanced RAG systems

ai-engineer is an agent skill for building production-grade LLM applications, advanced retrieval-augmented generation systems and intelligent agents. It covers vector search, embeddings, retrieval pipelines, multimodal AI, agent orchestration, AI safety, monitoring and cost controls. Use it when you are building or improving LLM features, RAG systems or agents, designing a production AI architecture and its model integration, optimising vector search, or adding safety, monitoring or cost limits to an AI feature. The skill says when not to use it: for pure data science or traditional machine learning without LLMs, for a quick interface change unrelated to AI features, or when there is no access to the data sources or deployment targets. It is part of the sickn33/agentic-awesome-skills repository on GitHub, which has about 47,600 stars. The listing shows it as free, and it has about 1,300 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ai-engineer.

View ai-engineerAll AI Skills apps
Price
Free
Made by
sickn33
Category
AI Skills
Website
github.com/sickn33/agentic-awesome-skills/ai-engineer