What it is, how to start for free, and every GitHub link in the library.
GitHub is a website where people store projects and keep a record of every change, so a team can work on the same files without overwriting each other. It is built on Git, the software that tracks the changes. Most of what is on GitHub is code, but you will also find guides, lists, data and documents.
You need a free account to save your own work. GitHub's own beginner guide says you don't need to know how to code, use the command line or install Git to try it.
If you're job hunting in a technical field, a tidy GitHub profile works as a portfolio. The toolkit below shows what to put on yours.
Short GitHub repository tutorial explaining how to clone and access GitHub repositories over HTTPS on Linux and Windows, aimed at beginners. Last updated November 2022.
A short, command-line walk-through for downloading ("cloning") a project and saving changes back, with Linux and Windows steps. It is brief. The library's entry says it was last updated in November 2022, and it doesn't explain what GitHub is, which is why the text above comes first. Its Linux steps explain that when GitHub asks for a password, you enter a personal access token instead. The Windows steps skip that, so use a token there too if you're asked for a password.
GitHub's free article library explaining version control, DevOps, CI/CD, security practices and AI-assisted development in plain terms.
From the site: GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Why I recommend it: Good plain-English explainers for the terms that show up in job descriptions — read the DevOps and CI/CD ones before an interview.
GitHub's own library of articles on version control, automation and learning to code.
Step-by-step toolkit for curating a recruiter-ready GitHub: profile README, three pinned public projects, clean repo naming, and the six-section README map every project should follow. Includes a quality checklist.
In plain terms: This guide shows you how to organize and clean up your GitHub profile for job applications. You can follow the quality checklist and project outline to present your best work clearly to recruiters.
Why I recommend it: Three well-documented projects beat ten messy ones. Test your profile in an incognito window.
Created by Justin Smith — Launchpad Library
A step-by-step checklist for a recruiter-ready GitHub profile: a profile README, three pinned projects and a README outline for each.
Everything in the library that lives on GitHub, plus resources tagged "github." New ones show up here automatically.
93 resources
Video walkthrough of open-source repositories founders can use for content quality, distribution, and monetization experiments.
Why I recommend it: Watch for the ideas, not the tools. The repos change monthly; the distribution thinking lasts.
The project page for a study finding that AI assistance reduces persistence and hurts independent performance once the tool is removed. Includes the paper and materials.
An open-source library of metrics and algorithms for finding and reducing unwanted bias in datasets and models, in Python and R. Free.
From the site: A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models. - Trusted-AI/AIF360
Why I recommend it: For the harm that shows up in ordinary systems long before anything dramatic does — hiring screens, lending, scoring. Measuring bias is the easy half; deciding what fair means is yours.
Open-source project in which Claude generates a daily new tab page based on your browser history.
An open-source AI coding assistant that works in your terminal on a real git repository, making commits as it goes. Apache 2.0 licensed.
From the site: aider is AI pair programming in your terminal. Contribute to Aider-AI/aider development by creating an account on GitHub.
Why I recommend it: It edits real files and commits them, so work on a branch. The tool is free; the model you connect it to is not.
An open-source (MIT) job-hunting automation tool that scans company career pages every 15 minutes, submits applications to applicant tracking systems when it is confident about a match, pulls wider market listings through the Adzuna jobs API, and sends alerts to Telegram.
Why I recommend it: Powerful and blunt. Auto-submitting applications will get you volume, not fit, so if you run this, keep the confidence threshold high and still write your own answers for the roles you actually want. Read the code before you hand it your resume.
An open-source desktop and self-hosted app that lets you chat with your own documents using local or hosted models. MIT licensed.
From the site: Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience - Mintplex-Labs/anything-llm
Why I recommend it: Point it at your own files — job descriptions, notes, contracts — and ask questions of them without uploading anything to a company.
Open-source workspace for notes, tasks, wikis and databases, built as a self-hostable alternative to Notion with optional local AI features. The core app is free and open source; an optional paid cloud service is offered separately.
A free agent skill that turns a codebase or a plain-English system description into an interactive architecture, workflow, sequence or data-flow diagram you can share as a single file.
Why I recommend it: Handy for explaining how something works in an interview or a proposal without hand-drawing diagrams.
Open learning library with a 10-week applied LLM curriculum, 90+ free courses, and 60 AI interview questions.
Why I recommend it: One repo replaces a paid AI bootcamp if you follow the weekly plan.
Public proof-of-concept for a Windows Defender update denial-of-service vulnerability. Fills the disk by triggering repeated definition updates.
Why I recommend it: For security researchers and IT people who need to test their own systems. Do not run this on a machine that is not yours; misuse against someone else's system is a crime in most places. Read the README before touching it.
Open-source job search system with skill modes, a dashboard, PDF generation, and batch processing.
Why I recommend it: Read the repo even if you never run it — the workflow design is a good model for your own search system.
The public GitHub discussion where Anthropic and the community designed function hooks — a way for plugins to extend Claude Code — including the shipped design decisions and community feedback.
Why I recommend it: A rare look at how an AI product feature gets designed in public. Useful if you want to see how technical feedback is actually written.
Open-source motion design toolkit for coding agents, on GitHub.
A free Claude Code skill where two AI models harden a build plan before any code is written, then swap roles so whoever built it never grades it.
Why I recommend it: A good habit to borrow even outside code: have something other than the author check the plan.
Structured, free computer science study plan for landing engineering roles.
Why I recommend it: A full self-taught CS curriculum, written by someone who did it himself.
Open-source, node-based interface for building and running image, video and audio generation workflows with diffusion models, designed to run locally.
Code and search records for a 2026 Strategic Entrepreneurship Journal paper that uses an AI model to evolve real startup concepts.
Why I recommend it: Free, open research code. Needs Python setup; it's for studying the paper, not a ready-made tool.
An open-source coding assistant for VS Code and JetBrains that you point at any model, including one running locally. Apache 2.0 licensed.
From the site: open-source coding agent. Contribute to continuedev/continue development by creating an account on GitHub.
Why I recommend it: A free alternative to paid coding assistants if you already run a local model. Slower, but it costs nothing per keystroke.
Free AI skill that converts GitHub Actions workflows into GitLab CI/CD pipelines, usable from Cursor, VS Code, Claude, or any MCP-compatible client.
From the site: Convert GitHub Actions workflows to GitLab CI/CD in seconds. Add a free AI skill to Cursor, VS Code, Claude, or any MCP-compatible client.
Why I recommend it: A practical way to show DevOps range: migrate a pipeline, document what changed, and add it to your portfolio. Also a clean example of how MCP skills plug into everyday tooling.
DeepSeek's free open-source agent harness, built on an "everything is a plugin" architecture, with a local web interface you can run in one command.
Why I recommend it: Worth a look if you want to run AI agents locally without paying for a hosted platform.
Visual learning paths and skill maps for modern engineering and tech roles.
Why I recommend it: Pick one track and finish it — the roadmaps are for focus, not collecting.
An open-source platform for building and running AI apps and agents, with a hosted option and a full self-hosted Docker install.
From the site: Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without ...
Why I recommend it: More structure than a chat window: prompts, data and logs kept in one place. Start with their Docker install and one small app.
An open-source tool that converts PDFs, Word files and scans into clean structured text for AI use, running locally. MIT licensed.
From the site: Get your documents ready for gen AI. Contribute to docling-project/docling development by creating an account on GitHub.
Why I recommend it: The unglamorous step that makes everything else work: getting your PDFs into text without a paid converter.
Open source framework for building AI agents, free to clone and run yourself.
From the site: Open source agentic operating system. Contribute to elizaOS/eliza development by creating an account on GitHub.
Why I recommend it: Free and open source. Clone it and run one agent locally if you want to understand what an agent framework actually does rather than take a vendor's word for it.
Curated coding challenges pulled from real big-tech technical interviews.
Why I recommend it: Work a few problems a day rather than cramming the week before.
GitHub changelog entry, 22 September 2026: GitHub Copilot CLI now builds a persistent symbol index across a whole C++ project via the Microsoft C++ Language Server, so jumping to definitions and references stops re-discovering the project each time. On by default; the first index build costs extra time and memory, and can be turned off.
Why I recommend it: Free to read and filed as a primary source, not a review. The speed benefit is GitHub's own claim with no published measurement; Copilot itself needs a paid or sponsored plan beyond its free tier.
An open-source drag-and-drop builder for chatbots and AI workflows you can run yourself and embed on a site. Apache 2.0 licensed.
From the site: Build AI Agents, Visually. Contribute to FlowiseAI/Flowise development by creating an account on GitHub.
Why I recommend it: The quickest way to put a working chatbot on your own site without a subscription. You still pay whatever model you point it at.
An open-source scanner that probes a language model for weaknesses — prompt injection, data leakage, jailbreaks, toxic output — and reports what it found. Free.
From the site: the LLM vulnerability scanner. Contribute to NVIDIA/garak development by creating an account on GitHub.
Why I recommend it: Point it at a model you are about to rely on and see how it fails before your users do.
21 structured lessons on prompt engineering and building generative AI applications, with practical exercises in Python and TypeScript.
Why I recommend it: The best free course for actually building something. Work one lesson at a time and keep the code you write — that is your proof of skill.
NSA-maintained software analysis framework supporting disassembly, decompilation and scripting for inspecting compiled programs. The repository is available under the Apache License 2.0.
Experimental GitHub Next project exploring new ways for developers to compose and direct AI coding agents inside real projects.
Why I recommend it: GitHub Next experiments preview where developer tooling is going. Worth a look if you want to see the next interface before it ships.
Step-by-step toolkit for curating a recruiter-ready GitHub: profile README, three pinned public projects, clean repo naming, and the six-section README map every project should follow. Includes a quality checklist.
In plain terms: This guide shows you how to organize and clean up your GitHub profile for job applications. You can follow the quality checklist and project outline to present your best work clearly to recruiters.
Why I recommend it: Three well-documented projects beat ten messy ones. Test your profile in an incognito window.
Created by Justin Smith — Launchpad Library
GitHub's free article library explaining version control, DevOps, CI/CD, security practices and AI-assisted development in plain terms.
From the site: GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Why I recommend it: Good plain-English explainers for the terms that show up in job descriptions — read the DevOps and CI/CD ones before an interview.
MIT-licensed Git platform by Jovi De Croock for plan-driven development, agent-assisted review, merge queues and controlled rollout. The repository provides source and deployment instructions. Software access is free; hosting and any model services used may cost money.
An open-source, browser-based "spy satellite simulator" that plots real satellites, planes, vessels and public cameras on a photorealistic 3D globe, and answers questions about the planet in plain language.
Why I recommend it: A striking free build to study or fork if you want a portfolio project that people actually stop and look at.
Google's public style guide for Rust code, covering how it applies public Rust style rules and API design guidance, code organization, and related conventions.
Free, open-source desktop speech-to-text app that works completely offline. Press a shortcut, speak, and the transcribed text is pasted into any text field using local Whisper or Parakeet models. Available for Windows, macOS and Linux.
In plain terms: Google Research's open-source Harness2 repository on GitHub, with code and documentation for running and evaluating it.
The Python framework behind Stanford's HELM leaderboards, released under the Apache License 2.0 (licence file read, not copied from a roundup). You install it with pip, describe a run (scenario plus model plus metrics), and it evaluates the model and produces the same structured results the public site displays, including its own local web UI for viewing them. It supports hosted model APIs and locally run open-weight models, and you can add your own scenario to test a model on your own task or data. Free to use, modify and use commercially under Apache 2.0; you pay only for whatever model API calls or compute your own runs consume.
Why I recommend it: Worth it if you need to prove a model is good enough for a specific job rather than good in general — write your own scenario with your own examples and run it. Two practical warnings: the published leaderboard runs are large and expensive to reproduce in full, so start with a single scenario and a small instance count, and if you evaluate a paid API model the token costs are yours, not Stanford's.
Short GitHub repository tutorial explaining how to clone and access GitHub repositories over HTTPS on Linux and Windows, aimed at beginners. Last updated November 2022.
An essay by SE Gyges examining whether the online rationalist community around AI risk behaves like a religious movement.
Why I recommend it: A critic's personal essay. Read alongside the rationalists' own writing on LessWrong so you hear both sides.
An open benchmark for testing how well large language models resist jailbreak attacks — prompts designed to get a model to produce harmful or unwanted content. It provides a public repository of jailbreak prompts, a standardized evaluation library with a defined threat model and scoring, and a leaderboard of attacks and defenses.
Open-source tool that routes each Claude Code task to the lowest-cost model suited to it, to reduce token spending.
Open-source AI agent that scans job boards daily, cross-references your LinkedIn network for warm intros, and emails you a curated list of matches. Self-hosted — you run it with your own keys.
In plain terms: This open-source tool scans job boards daily to find openings that fit your criteria. You can connect your LinkedIn network to spot contacts at hiring companies and receive daily email updates with active job matches.
From the site: AI agent that scans job boards daily, cross-references your LinkedIn for warm intros, and emails you curated matches - evanzsolomon/job-search-agent
Why I recommend it: For the technically comfortable. Read the code before you point it at your accounts, and never let an agent send applications unreviewed.
A Jev-like family of small decision models built on Qwen that you can train and run on your own hardware, from Jared Palmer.
Why I recommend it: Free and open source. Running it yourself means paying for your own compute; the models are small enough for a laptop or a cheap server.
An open-source visual builder for AI workflows and agents — drag components together, then export the flow as an API. MIT licensed.
From the site: Langflow is a powerful tool for building and deploying AI-powered agents and workflows. - langflow-ai/langflow
Why I recommend it: Useful for seeing what an AI 'agent' actually is: a chain of steps you can look at, not magic.
Open-source grammar, style and spell checker supporting multiple languages, usable as a browser extension, desktop app or self-hosted server. The core software is free and open source; a separate paid premium service exists.
Open-source "System 1" decision engine: typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Why I recommend it: Free and open source, but an individual developer's project — check the commit history and issue activity before relying on it for anything important.
An open-source chat app you host yourself that talks to many model providers at once, with user accounts, presets and file uploads. MIT licensed.
From the site: Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching,...
Why I recommend it: Good for a small team who want one chat tool across several providers without paying per seat.
Free interactive tool built on LinkedIn Economic Graph data that shows which jobs your existing skills already match and suggests career transition paths.
Open-source project for running large language model inference in plain C/C++ across CPUs and GPUs, maintained by the ggml organization and widely used to run open-weight models locally.
An open-source Python framework for connecting AI models to your own documents and data. MIT licensed.
From the site: LlamaIndex is the document processing platform for AI - run-llama/llama_index
Why I recommend it: For when you want to build something on your own files rather than use a finished app. Expect to write code.
An open-source drop-in replacement for the OpenAI API that runs models on your own hardware, including CPU-only machines. MIT licensed.
From the site: LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. - mudler/LocalAI
Why I recommend it: Point existing code at your own server instead of a paid API — no code changes beyond the address.
A tracker documenting how technology money shapes news coverage and public narratives about AI.
Why I recommend it: Worth checking before you cite a glowing AI story — see who funded the outlet.
An open-source, MIT-licensed SDK from Microsoft for running untrusted code — such as model output, plugins, and tools — in sandboxed containers on Windows, Linux, and macOS. It provides multiple containment backends, from OS-native process sandboxes to full virtual machines, behind a unified containment model, with policy-driven controls for filesystem, network, and UI access, and Rust, .NET, and Node SDKs.
Example project reports from MIT's Fall 2026 MAS.S62 How to AI course.
A visual workflow tool for connecting apps and AI models — source-available, and free to run on your own server. Their hosted plans are paid.
From the site: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. - n8n-io/n8n
Why I recommend it: This is how you automate the boring parts of a job hunt or a small business without writing code. Note the license is source-available, not fully open source.
Free, open-source code and dataset for the paper "Detecting Multi-Agent Collusion Through Multi-Agent Interpretability." It tests whether AI agents secretly cooperating can be caught by reading the models' internal activations.
Why I recommend it: A research tool, not a beginner resource. Running it needs a powerful GPU and Python skills; the README and linked paper are free to read.
Open-source skill that records video demos of your web app with zoom-ins and voiceover.
Why I recommend it: Free on GitHub. Needs some technical setup; I haven't tested it myself.
Bespoke Labs' open-source toolkit for local typed decisions, contrastive data curation and model evaluation.
Why I recommend it: Free and open source, from a company that also sells services — the repo is usable on its own.
Open-source runtime from NVIDIA for running autonomous AI agents in a sandboxed, private environment. Code and documentation are on GitHub.
A free, open-source security scanner that checks AI agent skills and MCP servers for prompt injection, data exfiltration and supply-chain risks before you install them.
Why I recommend it: If you install agent skills, scan them first. This is the free tool to do it with.
An open-source managed agent platform on GitHub, with an API for running AI agents.
A self-hosted, open-source chat interface for local or hosted models — chat history, documents, multiple users. Works on top of Ollama or any OpenAI-compatible API.
From the site: User-friendly AI Interface (Supports Ollama, OpenAI API, ...) - open-webui/open-webui
Why I recommend it: If you like the ChatGPT window but not the subscription, this is that window running on your own machine.
OpenAI's open-source speech recognition model and command-line tool, free to download and run on your own machine. MIT licensed.
From the site: Robust Speech Recognition via Large-Scale Weak Supervision - openai/whisper
Why I recommend it: The original. Slower than whisper.cpp on a laptop, but the reference version and simple to install with Python.
OpenAI's public GitHub repository, released October 6, 2026, of manuscripts the company says contain solutions to a number of high-profile mathematics problems. See the AHM statement for mathematicians' response.
An open-source platform for running coding agents such as Claude Code and Codex across your own machines and specialising them for domains like CAD, PCBs, robotics and games, with optional open hardware.
From the site: Follow your curiosity. Build across disciplines. Open-source software and hardware for polymaths in the making. - autonomous-ai/openharness
Why I recommend it: The software is free and open source. The agents you run inside it may cost money, and the companion hardware is a separate purchase — the repo itself is the free part.
Searchable directory of more than 10,000 open-source projects on GitHub, grouped by category and sortable by stars and community activity, built around finding free alternatives to paid software.
Why I recommend it: Good starting point when a subscription is eating your budget. Stars mean popularity, not maintenance, so before you commit check the last commit date and whether anyone answers issues.
Owain Evans is an AI alignment researcher leading Truthful AI, a non-profit for AI safety research.
From the site: Owain Evans is an AI Alignment researcher leading Truthful AI, a non-profit for AI Safety research. Discover his publications, blog posts, and collaborative opportunities on AI alignment, AGI risk, and related topics.
OpenAI's open-source PHP version checker that warns when a website's PHP headers or a local installation advertise a version exposed to the PHP2Shell vulnerability, with Codex skills and a script to run directly.
Open-source, minimal and extensible AI coding agent harness from Earendil Works. It can be customized with extensions, skills, prompt templates and themes, and used interactively, in print or JSON mode, or over RPC.
Two pitch decks compared side by side: Airbnb's 10-slide deck that raised $600K, and Fyre Festival's deck, whose company later faced fraud charges, plus sample GitHub work to use as a model for your own portfolio.
In plain terms: This guide compares successful and failed pitch decks from Airbnb and Fyre Festival alongside real GitHub profiles. You can use these examples to learn how to present business ideas clearly and structure your own technical portfolio.
Why I recommend it: One idea per slide. Problem, solution, evidence. Decoration never closed a round.
Created by Justin Smith — Launchpad Library
A GitHub blog post describing Project HydraFusion, a research preview in GitHub Copilot that orchestrates multiple AI models for coding workflows. According to the post, in controlled offline evaluations HydraFusion's selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Published September 4, 2026.
Microsoft's open-source toolkit for red-teaming AI systems: automated attack prompts, scoring of the responses, and repeatable runs. Free.
From the site: The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI system...
Why I recommend it: Built by the team that red-teams Microsoft's own AI products, and released as-is. Best paired with a written idea of what you are testing for.
The MIT-licensed open-source repository for REA, a tool that lets coding agents reverse engineer software, from app behavior down to native binaries.
A free browser-based practice aid that walks through a recruiter phone screen question by question, so you can rehearse the opening conversation most candidates wing.
Why I recommend it: The recruiter screen is the round people prepare for least and get cut in most. Run through this once out loud before your next call.
OpenAI's official guide to configuring Codex code and security reviews for GitHub pull requests, including automatic reviews and custom repository instructions.
An open-source, self-hosted search engine that queries other engines without tracking you or building a profile. AGPL licensed.
From the site: SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled. - searxng/searxng
Why I recommend it: Useful if you research employers a lot and would rather not have that history tied to an account.
Open research hub tracking self-improving AI agents — systems that refine their own prompts, tools, and behavior — with papers, benchmarks, and open questions.
Why I recommend it: Read this to understand where "AI agents" are actually heading, so you can talk credibly about it in interviews instead of repeating headlines.
India-based 4-week open-source engineering internship where you solve real GitHub issues, earn MSME-recognized certificates, and build verified proof of work.
From the site: India's 4-week open-source engineering internship. Solve real GitHub issues, earn MSME-recognized certificates, and build verified proof of work.
Why I recommend it: If you need real, verifiable engineering experience on a resume, shipping merged pull requests beats another certificate. Great for students and career switchers building a public track record.
A free open-source tool that scores AI-written copy for tell-tale "AI voice", rewrites it with a rival model, then re-checks it, so landing pages, READMEs and emails read like a human wrote them.
Why I recommend it: A practical fix if your AI-assisted writing keeps sounding generic.
An open-source, self-hosted set of PDF tools — merge, split, sign, compress, convert — with no upload to somebody else's server.
From the site: #1 PDF Application on GitHub that lets you edit PDFs on any device anywhere - Stirling-Tools/Stirling-PDF
Why I recommend it: Do not upload your CV to a random free PDF site. Run this locally for the same jobs.
Open-source SDK, Python and TypeScript, for building production AI agents you run yourself — any model, any cloud.
Why I recommend it: Free and open-source (Apache-style OSS). For builders who want an agent framework they control, not a hosted service.
Open-source guide to designing and scaling large web systems.
Why I recommend it: The standard prep for senior engineering interviews.
The web's largest open-source collection of algorithms across many languages.
Why I recommend it: Read the implementations in the language you interview in.
A free 12-page playbook from Tiffany Teasley (Data Sistah) with six portfolio projects built on real business problems, a free browser-based coding setup, a GitHub README template, a resume rewrite prompt, and the exact referral messages that turn a 15-minute chat into an introduction.
Why I recommend it: I like this one because it refuses to let you hide behind another certificate. Pick one project this week, finish it, then use the referral scripts at the back - that pairing is what moves people from studying to hired.
Created by Tiffany Teasley - Data Sistah
Open-source AI-powered answering engine that searches the web and answers questions with cited sources; can be self-hosted.
An open-source agent skill on GitHub by nicobailon that generates rich HTML pages or slide decks for diagrams, diff reviews, plan audits, data tables, and project recaps.
Open-source project by Guillaume Meyer that strips multi-vendor AI provenance marks, including Unicode text artifacts, statistical rewrite hooks, and C2PA metadata from PNG, JPEG, SVG, PDF, DOCX, HTML, and Markdown files.
Why I recommend it: Listed as evidence, not advice. It shows why AI-detection claims about your writing are shaky, and why disclosure beats concealment.
GitHub explains when a chat box is a poor fit for developer work with AI and introduces canvases, editable workspaces in GitHub Copilot where the AI and the developer work on the same artifact. Written by GitHub about its own product.
A fast, dependency-light rewrite of OpenAI's Whisper speech-to-text that runs on ordinary laptop hardware, including CPU only. MIT licensed.
From the site: Port of OpenAI's Whisper model in C/C++. Contribute to ggml-org/whisper.cpp development by creating an account on GitHub.
Why I recommend it: Transcribe interviews or your own practice answers privately, without paying a per-minute transcription service.
Free, open-source command-line tool for downloading video and audio from thousands of sites. Actively maintained on GitHub, runs on Windows, macOS and Linux, and is the tool most other download apps wrap.
Why I recommend it: useful for saving your own recorded talks, webinars and openly licensed lectures so you can watch or transcribe them offline. Downloading material you have no right to is a different matter and often breaks the site's terms or the law where you live, so keep it to your own content and openly licensed work.
"Free" usually means the software is free. Some tools on this list need technical setup on your own computer, and a few need a paid account with an AI company to be useful. Read each entry's note first, and don't put private information into a tool you haven't looked into.
