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Open source alternatives to modal

24 open source AI Skills apps to use instead, best rated first.

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  1. G

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    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

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  2. O

    opensource-pipeline

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    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

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    andrej-karpathy-skills

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    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

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  4. M

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    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

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  5. O

    od-contribute

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    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

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  6. G

    github-deep-research

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    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

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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.

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