Skip to content
gtars

Self-hosted alternatives to gtars

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 gtars

G

gtars

Supports Gtars for local genomic interval models and set algebra

gtars is an agent skill for Gtars, a library for genomic interval and reference-sequence work. It provides native Rust implementations, Python bindings and a feature-gated gtars command-line binary. The skill covers local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenisation and fragment processing. It advises starting with the bundled local inspectors, and calling upstream code only after the data contract, provenance, resource limits and side effects are clear. The skill records a verified snapshot dated 1 October 2026, so you can see which versions the examples were checked against. Use it when you are working with sets of genomic intervals, such as BED-style regions, and need to compare them, count overlaps, build coverage, or tokenise intervals for machine learning. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill gtars.

Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/gtars