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Self-hosted alternatives to modal

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 modal

M

modal

Modal is a serverless cloud platform for running Python on demand

modal is an agent skill for Modal, a serverless cloud platform for running Python on demand, including on-demand GPUs, with a focus on AI and machine learning workloads. The skill covers deploying and serving models, running Python functions in the cloud, and the platform's main features. These include GPU compute on demand, with the platform listing H100, H200, B200 and B300 GPUs, serverless functions that scale from zero to thousands of containers, custom container images defined in Python, and persistent storage through Volumes for model weights and datasets. It also covers web endpoints for models and APIs, and scheduled jobs on a cron or a fixed interval. Container reuse and warm pools reduce cold starts, though loading a model still takes time. Modal Apps and Images are defined in Python, and existing Dockerfiles are supported too. Use it when you need to run a Python workload that needs a GPU or scales with demand, without managing servers. Check the platform's terms and costs before you deploy. 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.

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