GITHUB HOT REPOS · OCTOBER 16, 2026

Hot GitHub repos
of the week.

Report by The Next New Thing.

Scroll for the report ↓

morluto · agent reverse-engineering · MIT

See a feature you like? Your agent takes the app apart.

ELI5

Software ships as a finished app, not as source code, so when you see a feature you want to understand you are mostly guessing. REA is an MCP server — the plug that lets AI tools talk to outside software — that hands your coding agent real inspection tools, so it can open the app on your own machine and explain how that feature actually works.

View on GitHub →
Stars
268k
Language
TypeScript
Target types
23
GitHub repo card for morluto/rea — click to open the repo
Highlights
  • 23 kinds of thing it can open

    The README table runs from native binaries and Android apps to Electron apps, .NET, websites, saved network traffic, firmware and SQLite files.

  • Every answer comes with its evidence

    Analysis runs locally, and REA returns the code, references and remaining unknowns behind a finding instead of a confident-sounding summary.

  • A worked example you can check

    In the DX-Ball case study the rebuilt sound-pan function passes 3,205 original x86 test cases and reproduces all 63 bytes of the compiled original.

Star growth over time for morluto/rea
Mario Nawfal’s account calls closed source dead and lays out what REA actually does — take apart native apps, Electron apps, websites, APKs, firmware and even smart-contract bytecode, show the evidence for every claim, then build its own version of the feature. It is the post that put the repo in front of nearly a million people, with the morluto/rea link attached. His “25,000+ stars in a single day” figure is his count, not the repo’s — say so if it goes on screen.
Saraev installs REA into a coding agent, points it at macOS Preview and watches the agent rebuild the app’s behaviour from the shipped binary. It is the most watched “does this actually work” test of the repo on YouTube — 1.17 million views in five days. He also pushes back on the hype, arguing the technique is not as new as the star count suggests.
Chapters — click to jump
Shocks builds his own Mac app with a hidden unlock code, strips every name out of it, then asks his agent to recover the rules from the compiled binary — and checks the answer against the real source. The best proof-not-promise demo of the repo, with a blunt closing section on the legal and security catches. His own chapter list puts the demo at 4:14.
Ravi tried it · hands-on
Watch it actually run

“I pointed it at a famous game and got back a working copy in one file. Reverse engineering for regular people.” About 7 minutes, and it needs Node 22 or newer.

Open Ravi’s run → rea-test.codeshiftagent.com
Hacker News (806 points, 338 comments)
REA Reverse – Engineer Anything

The biggest thread on this week’s show, and the fight is on three fronts at once. Front one is “does this add anything?” — one commenter asks how REA beats just telling Claude to install Ghidra yourself, and the reply thread lands on “probably it is not better… aimed at people who do not have a current RE methodology,” with somebody renaming the whole category “vibe-reverse-engineering.” Front two is grief: a hobbyist RE argues the tool “kinda just… totally eliminates that as a hobby entirely,” tearing apart the communities that formed around slow manual teardowns. Front three is legal — “the lawyers at all those companies will be readying their lawsuits.” And the very first comment mocks the install: “We have achieved the next evolution of installation by curl pipe bash.”

Read the discussion →
boykopovar · PS5 game porting · GPL-2.0

PS5 game files become PC programs, no emulator involved.

ELI5

AnyPS5 rewrites a PS5 game's program file into the native format Linux, Windows or macOS already understands, so the title runs as an ordinary app rather than inside an emulator. The repo opened on 3 August 2026 and is already at 38.5k stars with 408 contributors, which is most of the story: this is a fast-moving work in progress, not a finished product.

View on GitHub →
Stars
38.5k
Language
C++
Contributors
408
GitHub repo card for boykopovar/AnyPS5 — click to open the repo
Highlights
  • No emulator, no extra runtime

    A relinker converts the executable into the target system's own native format, and the project ships its own PS5 system libraries to link against.

  • The converter runs in your browser

    The project's GitHub Pages site hosts an online relinker, and the README says your files never leave your device. The CLI adds Windows and macOS output.

  • Coverage is published as a live scoreboard

    Today the project's own badges read 88.83% for system libraries and 100.0% for shaders, and a community blocker map tracks how far each individual game gets.

Star growth over time for boykopovar/AnyPS5
RedGamingTech, a PC-hardware channel, tells over a million viewers that AnyPS5 progress is “absolutely insane” and explains the no-emulator part in one breath — PS5 API calls get translated to PC equivalents such as Vulkan, while the x86 CPU code runs natively. This is the most-liked AnyPS5 post on X. His percentages are a 5 October snapshot; the project’s own live badges read higher now.
A nine-minute explainer on how AnyPS5 rewrites a PS5 game into a plain Windows program instead of emulating a console, and what the viral “80% done” claim actually measures. It is careful about the fine print — the percentage counts functions the project has declared, not the whole PS5 — which is exactly the caveat worth repeating on camera.
Chapters — click to jump
A real end-to-end setup on an ordinary i5 laptop: build the relinker, lay out the game folder, check the eboot, convert it, audit the imports and run it — including the errors that came up and the fixes. The game is a free open-source DOOM port packaged like a PS5 title, so nothing here depends on a pirated dump.
Hacker News (374 points, 326 comments)
AnyPS5: Port PS5 binaries to PC without emulation (87% system libraries mapped)

Two arguments worth putting on screen. The first is survival: the top comment is people setting up private mirrors and self-hosted Forgejo instances because “they may eventually be taken down through legal threats eg, Yuzu and Ryujinx,” and others point at Sony cease-and-desist letters. The second is the AI question the project never answers itself — one commenter writes “from the amount of activity and how much this all smells like heavy AI usage, I have zero doubt that something will be working shortly after launch. The agents won’t sleep until it boots,” and calls it “the first hint I’ve seen of the complete destruction of all copy protection schemes.” Nobody in 326 comments challenges the 87 percent figure — which is exactly the thing worth challenging, since the project’s own footnote says it is a percentage of the functions known so far.

Read the discussion →
mattpocock · agent skills collection · MIT

Make your coding agent grill you before it writes a line.

ELI5

A coding agent's most expensive habit is confidently building the wrong thing. This is one developer's personal folder of 27 small instruction files — “skills” — that make the agent interview you first, write a failing test before the fix, and review its own work before it commits.

View on GitHub →
Stars
293k
Language
Shell
Skills
27
GitHub repo card for mattpocock/skills — click to open the repo
Highlights
  • The most popular one is an interview

    /grill-me and /grill-with-docs make the agent ask you detailed questions before it builds, because the top failure mode is simple misalignment.

  • One person's folder, not a framework

    The README's pitch against GSD, BMAD and Spec-Kit is that they own your process; these are kept small, composable and easy to edit, and work with any model.

  • 27 skills, split by who may call them

    You type the user-invoked ones like /grill-me and /triage; the agent can reach for the model-invoked ones itself, like /tdd, /diagnosing-bugs and /code-review.

Star growth over time for mattpocock/skills
A third-party breakdown that frames the repo the way the show does — 290K stars for the Claude Code skills one engineer uses every day — and names the four that matter: /grill-me, /tdd, /diagnosing-bugs and /grill-with-docs. It also prints the exact install line and the one-per-repo setup command. Modest likes, but it is the strongest English third-party post that actually names mattpocock/skills.
An ex-Amazon engineer reads the whole collection and reports back on what grill-me, to-spec and to-tickets actually change about the way an agent builds. Twenty-four minutes, genuinely third-party, and it ends on a verdict rather than a feature list. The code-review walkthrough around 10:57 is the most concrete stretch.
Chapters — click to jump
Matt Pocock demos the skills live at GitHub Copilot Day — grilling a real issue in his own repo, generating a visual pull request, then running the code-review skill against the result. It sits on GitHub’s channel rather than his own, so it is not an independent review, but it is the clearest look at the workflow running on real work.
Ravi tried it · hands-on
Watch it actually run

“One skill file, and my coding agent started testing first like a careful engineer.”

Open Ravi’s run → skills-test.codeshiftagent.com
GitHub issue #44 (17 comments, 16 reactions, closed as wontfix)
Codex just asked me 200 questions

The repo’s headline skill is an interview that refuses to stop, and this is the thread where users say so. Someone asks for a cap on the questions; Matt Pocock answers “remember that you are the one in charge… It’s a conversation, not an exam,” then closes it as wontfix — “grilling is intentionally open-ended.” A user posts a screenshot of a 4.5-hour session and says the result “was way over-engineered, like using a cannon to kill a mosquito.” The sharpest pushback is direct at the author: with GPT 5.5, “IMO, this should be addressed by the SKILL itself, I don’t think telling the user to steer it is the right solution.”

Read the discussion →
HeyGen · HTML-to-video for agents · Apache-2.0

Write a web page, get back a finished video.

ELI5

An open-source framework that turns an ordinary HTML page — text, CSS, video clips, music, animation — into a finished MP4. Because the source is just HTML, an AI coding agent can write the video for you.

View on GitHub →
Stars
64.5k
Language
TypeScript
Skills
21
GitHub repo card for heygen-com/hyperframes — click to open the repo
Highlights
  • HTML in, MP4 out

    A composition is an HTML file with data-start and data-duration attributes. Headless Chrome seeks every frame and FFmpeg encodes it, so no build step.

  • 21 skills your coding agent can load

    A “/hyperframes” router plus 20 more skills teach Claude Code, Codex, Cursor and Gemini CLI the loop: plan, write HTML, lint, preview, render.

  • Remotion’s idea without React

    Both render through headless Chrome and FFmpeg. Remotion bets on React components and a source-available license; this is plain HTML, Apache 2.0.

Star growth over time for heygen-com/hyperframes
The cleanest third-party summary of what HyperFrames is: HeyGen open-sourced the tool it uses to make videos with AI agents, your agent writes HTML, and the renderer turns it into a real MP4 — with GSAP, Three.js and Lottie supported and nothing to pay per render. It links the heygen-com/hyperframes repo and counts 21 skills for Claude Code, which matches the repo’s skills directory. The 56K star figure in the post is already out of date.
Herk wires a coding agent up as the orchestrator with HyperFrames doing the motion graphics, drops in a raw recording and ends with a rendered edit. Twenty-eight minutes covering setup, the prompting style that actually works, the HyperFrames-versus-Remotion trade-off and the preview-and-iterate loop. The most watched HyperFrames build on YouTube, and the description links the repo directly.
Chapters — click to jump
A levelled walkthrough of HyperFrames inside a coding agent — install the skill, then three increasingly ambitious builds. Useful for seeing where the framework stops being easy before you install it yourself.
Ravi tried it · hands-on
Watch it actually run

“I typed one sentence and got back a Short that looks like a motion designer made it.” It took fifteen minutes and the right version of Node.

Open Ravi’s run → hyperframes-test.codeshiftagent.com/simple
GitHub issue #2613 (3 comments, closed as completed)
Skills instruct agents to silently self-update via npx with no user confirmation

A reviewer found that 11 of the 25 skill files in HeyGen’s own repo opened with a directive telling the agent to run an npx update “silently, don’t ask” — fetching and running code from the hyperframes npm channel on every invocation, which is why Snyk and Socket were flagging the pack. The blunt reply: “Self-updating skills, and invoking commands, telling the agent to do it silently, feels malicious… Definitely not ok,” from a developer whose unrelated pr-to-video skill got overwritten. This one has an ending you can show: the line in the live file now reads “confirm with the user before running.”

Read the discussion →
Cathryn Lavery · agent skill for diagrams · MIT

Ask for a diagram, get one in your own brand.

ELI5

Not an app — a set of written instructions you install into your AI coding tool. Ask for a diagram in plain words and it writes one self-contained HTML file with hand-placed SVG inside, styled like an editorial magazine rather than a default Mermaid chart.

View on GitHub →
Stars
55.9k
Language
HTML
Diagram types
45
GitHub repo card for cathrynlavery/diagram-design — click to open the repo
Highlights
  • 45 diagram types, one file each

    Architecture, flowchart, sequence, Gantt, Wardley map, Sankey, exploded axonometric and more. Each opens by double-clicking, with no build step or JavaScript.

  • It learns the look of your website

    Say “onboard diagram-design to yoursite.com” and it reads your palette and fonts, maps them to paper, ink, accent and title, and checks contrast.

  • Redraws your old draw.io and Mermaid

    Point it at a .drawio, Mermaid or Excalidraw file and it redraws the same content in this style, ending with a ledger of what it merged or dropped.

Star growth over time for cathrynlavery/diagram-design
A plain endorsement posted the day Diagram Design crossed 50,000 GitHub stars — “Me and 50k others can’t be wrong” — with the cathrynlavery/diagram-design link attached. It is the strongest English third-party post about the skill. Useful as the “people really do use this” beat before the honest limitations, which the author herself documents.
Seven minutes of the skill in practice: install the plugin, generate an architecture diagram straight from a codebase, then ER diagrams, timelines and org charts, and finally redraw an old draw.io file. The last three chapters just review the output, which is the part that matters for a design skill.
Chapters — click to jump
A seventeen-minute audit of the repo’s instruction files — what loads up front, what loads on demand, and the gate that makes the agent refuse to draw a diagram at all. The channel states outright that it read the repo rather than running it, so treat this as a code review, not a demo.
Ravi tried it · hands-on
Watch it actually run

“I asked for a diagram of a to-do app and got something that looks like a designer drew it.” About 4.5 minutes, because it plans and checks its own work.

Open Ravi’s run → diagram-design-test.codeshiftagent.com
GitHub issue #161 (3 comments, closed)
Default palette: accent has only 2.86:1 contrast on paper

The skill’s selling point is that it verifies WCAG AA contrast before it writes your brand colors. A user measured the skill’s own default skin and found the famous tangerine accent at 2.86:1 against paper, under the 3:1 minimum, with the sublabel gray at 3.48:1 against a 4.5:1 bar — and showed why nothing caught it: the linter only checks that colors come from the palette and never computes a ratio, while axe-core skips SVG text entirely. “A rule that only lives in prose is a rule that ships broken examples.” Cathryn Lavery reproduced every number, then changed the default accent to #bf4520 at 4.71:1 — which is the tangerine in the repo today.

Read the discussion →
NSA · reverse-engineering suite · Apache-2.0

AI agents now drive the NSA’s decompiler.

ELI5

The National Security Agency’s own software reverse-engineering toolkit, published free on GitHub in 2019. Feed it a compiled program and it hands back readable code, so you can see what the thing actually does.

View on GitHub →
Stars
88.6k
Language
Java
Contributors
463
GitHub repo card for NationalSecurityAgency/ghidra — click to open the repo
Highlights
  • Turns a finished program back into code

    Disassembly, assembly, decompilation, graphing and scripting across Windows, macOS and Linux binaries, with your own extensions in Java or Python.

  • The free engine under the agent tools

    New AI reverse-engineering agents, rea among them, hand native binaries to an existing Hopper, Ghidra or IDA install. Ghidra is the free one of the three.

  • Version 12.2 is in final prep

    Master merges the 12.2 branch daily and its release notes add beta “timeless” time-travel debugging. The last shipped build, 12.1.4, landed 21 Sep 2026.

Star growth over time for NationalSecurityAgency/ghidra
The cleanest one-line link between this week’s lead repo and a 2019 government release: “If you think REA is fun, just wait until you see what the NSA can get up to” — pointing straight at NationalSecurityAgency/ghidra. It picked up 2,629 likes and a quarter of a million views in a week, which is the whole reason a 2019 repo is on a 2026 trending list. Say clearly that Ghidra itself ships no AI or MCP feature; it is the free engine the new agent tools plug into.
A hacker wires Claude into Ghidra over MCP and lets the agent work a crackme binary end to end — importing it, reading the decompiled C, chasing cross-references and finding the password logic. This is exactly the shift that put a 2019 government release back on a trending list: Ghidra is the free engine the agents drive. The deep link starts where the AI takes over, after the install steps.
Chapters — click to jump
A two-and-a-half-minute Short that answers the obvious question — what Ghidra is, why the NSA gives it away, and what happens when you load a binary and let it decompile. Useful as the quick visual before the agent story, and 164,000 views say people still want the basics.
Ravi tried it · hands-on
Watch it actually run

“I handed it a compiled program and it gave me back the secret PIN in eight seconds. Just bring Java 21.”

Open Ravi’s run → ghidra-test.codeshiftagent.com
GitHub issue #8788 (18 comments, 7 reactions, still open)
Feature Request: Expand decompiler interface

Everyone wants to drive Ghidra’s decompiler from the outside — scripts, plugins, now agents — and this thread is where contributors say they cannot. The decompiler is “a black box” to scripts: bytes go in, pseudo-C comes out, and any change re-runs the whole chain. The contested part is the answer they got. A commenter posts a screenshot of the NSA team replying “I’m sorry but it is against project policy to share internal project planning, timelines, roadmaps, etc.” The requester’s conclusion: “With the apparent lack of transparency from the Ghidra team… the most effective way forward is to build some sort of hooking framework.” The thread then points at ReOxide, an EU-grant-funded project that patches hooks into Ghidra from outside. Open since December 2025.

Read the discussion →
Xianglei Ran · context-compression proxy · MIT + attribution

Keep one AI coding session going for weeks, not hours.

ELI5

A long chat with an AI coding tool eventually fills up the model’s memory, and then it goes vague or dies. This is a local middleman that folds the older part of the conversation into summaries it can unfold again, so one session keeps running.

View on GitHub →
Stars
1.4k
Language
TypeScript
Open issues
247
GitHub repo card for ranxianglei/billion-context — click to open the repo
Highlights
  • Sits between your agent and the model

    A local proxy rewrites requests on their way out, so the tool itself needs no changes. The README wires up 21 clients, from Claude Code to Zed.

  • The model picks what to fold away

    It hands the model four tools — compress, decompress, search_context and acp_status — and the model calls them itself as the chat grows.

  • Its own README calls it early

    The Status section says compression passes 500+ mock tests and that testing against real models is still “the next milestone”.

Star growth over time for ranxianglei/billion-context
Ravi tried it · hands-on
Watch it actually run

“It took one fix to get running, and it worked after that. Whether it really gives you endless sessions needs a much longer test.”

Open Ravi’s run → billion-context-test.codeshiftagent.com
earthtojake · CAD skills for AI agents · MIT

Talk out a part, then send it to the printer.

ELI5

A pack of skills you bolt onto a coding assistant so it can do mechanical design. You describe a part in plain words and it writes the CAD, exports a real file, draws the dimensioned print, and checks a shop can make it.

View on GitHub →
Stars
20.7k
Language
Python
Skills
12
GitHub repo card for earthtojake/text-to-cad — click to open the repo
Highlights
  • Twelve skills, not one trick

    They cover CAD modelling, 2D DXF drawings, dimensioned engineering drawings as PDFs, robot description files, G-code slicing and Bambu Lab printing.

  • Real engineering files, not just a mesh

    Parts come out as STEP first, with STL, 3MF and GLB as options, built on Open CASCADE 7.9 through the build123d Python library.

  • Checks the part before you pay

    The DFM skill reviews a part for sheet metal, CNC or injection moulding with measured evidence and cites the rule behind each finding.

Star growth over time for earthtojake/text-to-cad
A third-party walkthrough of what text-to-cad actually produces: STEP, STL, DXF, GLB and 3MF exports, URDF robot descriptions, G-code slicing, and a job sent to a Bambu Lab printer. The hook is a 7-DoF robot arm with working kinematics and a custom GUI built almost entirely through prompts. Treat the demo as the poster’s claim — the repo publishes no accuracy benchmarks and nothing here was independently tested.
A non-designer installs the text-to-cad skill, types one sentence, and gets an 85-part, 15-motor robot back as a real STEP file. It shows the loop that actually matters: Claude writes each part as code, screenshots its own model to check it, then finds and fixes 26 places where parts were sitting inside each other. The honest-limits section near the end is worth keeping in.
Chapters — click to jump
Ravi tried it · hands-on
Watch it actually run

“I described a phone stand in one sentence and got a file I could send straight to a 3D printer.” About 7 minutes.

Open Ravi’s run → text-to-cad-test.codeshiftagent.com
Hacker News (186 points, 48 comments)
Text-to-CAD

The dossier’s biggest gap is that this repo publishes no accuracy numbers at all, and this thread is where someone said it to the maintainer’s face: “Without benchmarks and/or a whole suite of non-cherrypicked examples, this means nothing because you can trivially make an AI generate anything from text.” The reply, from the person who posted the project: “Working on benchmarks at the moment! Always open to feedback / PRs.” That was five months ago and the README still has none. Elsewhere a commenter says the demo project “doesn’t seem to understand how servo motors work” and gets a one-character answer: “:(”. The deeper objection is structural — “LLMs are still very weak at spatial reasoning” — and a CAD professional argues the niche is hobbyists, because “for professionals, where results have dollar values, there needs to be a much deeper understanding of the problem domain.”

Read the discussion →
Paul Hudson · SwiftUI agent skill · MIT

Rules that stop AI writing out-of-date SwiftUI.

ELI5

An agent skill — a written rulebook an AI reads first — that teaches Claude Code, Codex, Gemini or Cursor how to write modern SwiftUI, the code behind iPhone and Mac app screens. There is no program in here, only Markdown.

View on GitHub →
Stars
6.1k
Language
Markdown
Reference files
12
GitHub repo card for twostraws/SwiftUI-Agent-Skill — click to open the repo
Highlights
  • All Markdown, no code at all

    The repo is one SKILL.md plus twelve reference files on deprecated API, views, data flow, navigation, design, resizing, accessibility and performance.

  • Aimed at mistakes AI tools really make

    Paul Hudson says the rules target real LLM habits: buttons left invisible to VoiceOver, deprecated API, and code that causes surprise performance problems.

  • One command, several AI tools

    A single npx skills add line installs it for Claude Code, Codex, Gemini or Cursor; you then run a review by typing /swiftui-pro, or $swiftui-pro in Codex.

Star growth over time for twostraws/SwiftUI-Agent-Skill
Paul Solt, an iOS developer with no stake in the project, telling his followers to grab Paul Hudson’s SwiftUI skill and stop their agent writing deprecated code. The quoted post underneath is Hudson’s own description of what the skill catches: deprecated modifiers, accessibility gaps and performance pitfalls. Modest numbers, but it is a genuine third-party recommendation rather than an announcement.
Paul Hudson — the author of this repo — installs agent skills into Xcode and shows what his SwiftUI rulebook actually changes in the code an agent writes. It is his own channel, not a third party, but it is the only video above our view bar that is genuinely about this skill. Twenty-seven minutes on installing skills, using them, and choosing between them.
Ravi tried it · hands-on
Watch it actually run

“No Mac, no app, but the skill still made the AI write cleaner, more accessible SwiftUI.”

Open Ravi’s run → swiftui-agent-skill-test.codeshiftagent.com
GitHub pull request #14 (3 comments, merged)
Soften “extract all computed views” rule — current wording worsens code

A skill with no benchmarks rests entirely on whether its rules are right, and here a working developer says one of them is wrong: using it on his open-source CreditsKit, the rule flagged four private single-use helpers and told the agent to scatter them across new files, which “would have made the code harder to read… this is the first of potentially several reports where a rule actively worsens code.” Paul Hudson defends it on performance grounds — SwiftUI reinvokes computed properties when the parent body changes — and notes Miguel de Icaza hit exactly that problem three days after the skill shipped. He also warns against the fix being proposed: do not apply @ViewBuilder by default, it creates conditional-content views that are slower and break animations. He merged it anyway, with a line that gives the whole repo away: “Claude particularly has a terrible habit of overusing computed properties, so we need to find a balance.”

Read the discussion →
Duarte Santos · self-hosted gym tracker · AGPL-3.0

A gym tracker you own, with 5,600 exercises built in.

ELI5

A workout app you run on your own server or home machine instead of renting one from a fitness company. You plan routines, log every set and your body weight, and the whole history sits in a folder you control.

View on GitHub →
Stars
12.3k
Language
JavaScript
Exercises
5,632
GitHub repo card for DuarteSantos8/openGym — click to open the repo
Highlights
  • Running in one command

    A docker compose up -d and it answers on localhost:8080; the exercise animations ship inside the image, so there is nothing else to download.

  • Your old app’s history comes with you

    It imports from FitNotes, Strong and Hevy (CSV or an API key) plus Apple Health weight exports, and exports everything back out as one JSON file.

  • The AI parts are off by default

    An opt-in coach drafts a week of routines on your own provider key, and an MCP server (the plug that lets AI tools read outside data) is read-only and local.

Star growth over time for DuarteSantos8/openGym
The post that carried openGym furthest in English: a self-hosted fitness tracker in React and Docker, weekly training plans with animated demos, body-weight charting, and every bit of sensitive workout data staying on your own machine instead of a third-party server. It links DuarteSantos8/openGym directly. Worth adding the licence nuance — the code is AGPL, but the exercise animations are licensed for openGym only.
A screen-recorded tour of the real openGym app — the no-login browser demo on desktop and phone, the exercise library, the muscle map, the one-command install and the import path out of Strong and Hevy. It also does the subscription math and a straight “honest context” section on the limits. Deep-linked to where the live demo starts.
Chapters — click to jump
Ravi tried it · hands-on
Watch it actually run

“No Docker needed to try it. Two commands and I had a clean, private workout tracker running in my browser.”

Open Ravi’s run → opengym-test.codeshiftagent.com
GitHub issue #554 (57 comments, 14 reactions, still open)
Contributor License Agreement: one comment from earlier contributors

Three days before this show, the maintainer tagged roughly 55 past contributors and asked each one to post a single sentence signing a new CLA. The reason is stated plainly: “the iOS app is next, and Apple’s App Store terms don’t mix well with code that is only under the AGPL.” Contributors keep copyright but grant openGym the right to relicense their work. The striking part is the unanimity — every single comment in the thread is the signature line, with zero objections, even though the ask is for an AGPL project to collect relicensing rights for a closed store build. The offer if you refuse is in there too: “that’s completely fine. Just say so and I’ll rewrite the parts that are yours.” Pair it with the other licensing catch — the exercise animations are not AGPL at all.

Read the discussion →
⭐

First Stars

FROM THE AUDIENCE

Hand the grunt code to a model you already pay for.

WHAT IT IS

A skill for Claude Code and Codex CLI that routes bulky, already-decided work — boilerplate, test stubs, the same edit across many files — to GPT through Codex, Gemini or a cheaper Claude subagent, while your main model plans and checks every diff. He also sent skillview, which puts every skill, plugin and MCP server you have installed into one table.

View on GitHub →
Stars
1
Language
Python
Started
Sep 2026
Sent in by Praj

Praj saw the Sep 25 episode open with Jev making decisions fast and cheap, and he uses it the same way: his main model plans the work and reviews every diff, and a model he is already paying for does the bulk typing.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Four scores tell you how spicy a book really gets.

WHAT IT IS

An open content-rating standard for books and stories: instead of one vague star or a pile of content warnings, every work gets spice, heat, darkness and transgression in one string, written SHOW S3·H4·O2·W5. The repo holds the v2.1 spec, machine-readable data with a JSON Schema, and a Claude skill that rates a chapter with evidence. Free under CC BY-SA 4.0.

View on GitHub →
Stars
0
Language
—
Started
Aug 2026
Sent in by Lani

Lani built the SHOW Standard for indie, romance and romantasy authors, readers and platforms that want a shared vocabulary for what is actually inside a book.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

A coding agent that asks instead of guessing.

WHAT IT IS

A small open-source skill that keeps Karpathy’s four coding rules — think before coding, simplicity first, surgical changes, goal-driven execution — and adds a gap check: if a missing fact would change the result and the agent cannot look it up, it asks at most three questions, each with a recommended default. Works with Claude Code, Codex, Cursor and Gemini.

View on GitHub →
Stars
0
Language
—
Started
Oct 2026
Sent in by Anshuman

Anshuman built it to stop coding agents from filling in the blanks and shipping a guess. If nothing is missing, it skips the questions and just does the work.

Your turn

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FROM THE AUDIENCE

Let AI write the talk, then publish it to a watch page.

WHAT IT IS

A skill that authors a narrated presentation and publishes it to a shareable watch URL, with free narration that runs on your own machine. Nick’s bisque.today is where those presentations get shared — a YouTube for AI-authored talks.

View on GitHub →
Stars
2
Language
JavaScript
Started
Aug 2026
Sent in by Nick

Nick recently quit his job at Google to work on Bisque full time, and asked for the audience segment pointing out that Andrew would be extremely early: the repo had one star, his own.

Your turn

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FROM THE AUDIENCE

A Linux sandbox where the AI cannot break your laptop.

WHAT IT IS

Install Docker and Container, type container, and you land in a persistent Linux workspace with Claude Code, Codex and OpenCode already set up, so an agent can work without touching your real computer. More than 1,200 people use it.

View on GitHub →
Stars
351
Language
TypeScript
Started
Jan 2026
Sent in by Kevin

Kevin, whose magic-compact was on the Sep 11 show, built it for people who watch the channel, want AI to build something, then quit after installing six tools and hitting thirty error messages — especially on Windows. It is his most popular project.

Your turn

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FROM THE AUDIENCE

Leave your agent a note in the folder that needs it.

WHAT IT IS

MemHooks drops small recall cues in the folders where they matter, so an agent that has the right fact stored actually thinks to go and look. Aron also sent Token-Terminator, which strips repeated tool output before it reaches the model while keeping the original exactly recoverable — its benchmark cuts a worst case from 651k tokens to 80k.

View on GitHub →
Stars
2
Language
Rust
Started
Aug 2026
Sent in by Aron

Aron sent two tiny repos he thought fit the hidden-find radar. His point with MemHooks: long-term memory can store exactly the right fact and still fail, because the agent never thinks to look for it.

Your turn

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FROM THE AUDIENCE

Pick the listing photo most likely to get clicked.

WHAT IT IS

A ranker for real-estate photos that runs on your own machine: open vision models (CLIP and SigLIP) score staging, clutter, how usable the room looks, brightness and composition in about 285 ms a photo on an M1 laptop — no GPU, no cloud.

View on GitHub →
Stars
1
Language
Jupyter Notebook
Started
Jul 2026
Sent in by Yatin

Yatin’s team wanted to know which photo to lead a listing with, rather than only A/B testing it, so he built the ranker — then open-sourced it because the approach is useful well beyond that one problem.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

One screen for every agent machine you run.

WHAT IT IS

A dashboard that runs on your own network for watching your agent machines, sending tasks to them, and taking over the controls, all over Tailscale — a private link between your own devices.

View on GitHub →
Stars
4
Language
Python
Started
Sep 2026
Sent in by Alex

Alex built AgentScreen for people running Hermes across several computers, and says it lets you take control “just like Grokbot does.” He has no idea how to charge for it.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Five hostile AI reviewers read your paper first.

WHAT IT IS

ManuView runs a manuscript past five adversarial reviewers — methods, domain expert, editor, statistician and devil’s advocate — and checks every reference against Crossref, OpenAlex and Retraction Watch. It can run fully offline, so unpublished work never leaves your machine. MIT licensed, with a web version too.

View on GitHub →
Stars
0
Language
TypeScript
Started
Sep 2026
Sent in by Bishal

Bishal, a PhD who maintains ManuView, saw researchers paying consultants $39 to $1,800 and up per paper just to catch the flaws that get papers desk-rejected, while generic chatbots are too agreeable and make up citations.

Your turn

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FROM THE AUDIENCE

A calm checklist instead of a wall of tool calls.

WHAT IT IS

A Claude Code mod (command /glanceflow) that replaces the stream of tool calls with one checklist above the prompt: the plan in plain English, live progress per step, and a clear “Needs you” when Claude is waiting on you. One button flips to Details with the code plus time, models and tokens per step, and it writes a plain-English team report. MIT licensed.

View on GitHub →
Stars
5
Language
TypeScript
Started
Oct 2026
Sent in by Andreas

Andreas, co-founder and CTO of SigniVoice, watches the weekly GitHub roundup and built GlanceFlow for the non-engineers on his team, who had started using Claude Code and found it overwhelming.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Turn a book you own into one text file for AI.

WHAT IT IS

A small Windows app: point it at an e-book window (he tested the Kindle app) and it turns the page, takes a screenshot, and repeats to the end, then uses Windows’ built-in OCR to rebuild the text as a single file you can hand to an AI, or a PDF of the pages. It breaks no copy protection, so it is for books you own. Free and open source.

View on GitHub →
Stars
0
Language
Rust
Started
Oct 2026
Sent in by Christopher

Christopher, author of the novel Dealing with Murder, heard Andrew say on the show that he was not sure how people give a whole book to an AI to follow — so he built Book Snapper as a proof of concept.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Approve what your agents ask for from Slack.

WHAT IT IS

Sends Paperclip agent requests — hiring another agent, spending budget, or a question that needs answering — to Slack or Telegram, where you tap Approve or fill in a short form and Paperclip records the decision under your own account. There is deliberately no AI in the bot, so nothing an agent writes can talk it into approving something. One Python file, MIT licensed.

View on GitHub →
Stars
1
Language
Python
Started
Oct 2026
Sent in by Christopher

Christopher’s team at sthreelabs runs a small team of agents on Paperclip, from the Sep 25 episode, and kept wanting to answer agent requests without opening the dashboard — especially when he is remote and would otherwise set up a tunnel or wait until he is back at the office.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Run a 14B model on a laptop with 8 GB of RAM.

WHAT IT IS

An open benchmark and inference engine for big AI models on ordinary computers: instead of loading the whole model into memory, where normal runtimes crash or freeze, the weights stay on a fast NVMe drive and Kura streams the next layer in while the processor works on the current one. One-command install, with a terminal interface and an OpenAI-compatible API server.

View on GitHub →
Stars
11
Language
JavaScript
Started
Sep 2026
Sent in by Fraol

Fraol wrote in to say he had built a tool he wanted Andrew to look at, and offered to walk him through it.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

A scraper that repairs itself when a site changes.

WHAT IT IS

James’s second repo, written in Rust: fast web scraping that is built to be hard to detect and to fix itself when a page it depends on moves. Early days, with a site at netweir.com.

View on GitHub →
Stars
5
Language
Rust
Started
Oct 2026
Sent in by James

James says his second repo has dropped, it is still in the early stages, and it is the first time he is adding some vibe coding into the mix, so “we will see how it goes.”

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

A family office that runs inside your coding agent.

WHAT IT IS

A self-hosted “family office” for Claude Code or Codex: one command gives a full risk profile for any ticker (value at risk, Sharpe, drawdown, beta) from a fresh clone, your data stays in a private SQLite ledger on your own machine, and guardrails block a risky action when its inputs are missing instead of guessing.

View on GitHub →
Stars
325
Language
Python
Started
Oct 2025
Sent in by Ossie

Ossie watches every Top 10 episode and built it on one rule: agents propose, typed code computes — so every number an agent quotes comes out of a tested Python calculator you can run yourself.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Notes organized the way Malagasy ancestors kept them.

WHAT IT IS

A note-taking and knowledge-management system with AI, built on the beads practice (vakana) of Madagascar, and made to work on a phone. Site at vakana.mg.

View on GitHub →
Stars
1
Language
JavaScript
Started
Oct 2026
Sent in by Donovan

Donovan, a YouTube follower from Madagascar, based it on the Vakana beads practices of his Malagasy ancestors. He has just open-sourced it and would love the show to give it its first star.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

A password manager that never goes online.

WHAT IT IS

A completely offline Android password manager with local sync between your own devices — no account, no cloud service in the middle.

View on GitHub →
Stars
1
Language
JavaScript
Started
Oct 2026
Sent in by Simon

Simon has been watching Andrew’s videos for ages and is building a whole host of completely offline Android apps. plain-vault is the first one he feels happy sharing, with a few more ready soon.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

Put your coding agents in the team chat.

WHAT IT IS

A self-hostable tool that brings agents like Claude Code and Codex into shared Slack, Teams or Discord channels, working alongside the people already in them.

View on GitHub →
Stars
768
Language
Python
Started
Jul 2026
Sent in by Lisa

Lisa asked Andrew and Corey to review Switch — whether the agents can genuinely work together, how much setup it takes, and how permissions and costs are handled.

Your turn

Building something? Send it to hi@TheNextNewThing.ai

FROM THE AUDIENCE

A security review that runs with the network off.

WHAT IT IS

A free, local-first security review tool: it scans code on your own machine with networking off by default, flags exposed credentials, unsafe execution patterns and risky configuration, can block unsafe commits, and shows evidence of what it checked. AI review is optional. Still early, at v0.1.0.

View on GitHub →
Stars
5
Language
Python
Started
Sep 2026
Sent in by John

John, founder of BlackSnow Intelligence with a background in cybersecurity governance, risk and compliance, noticed that AI code-review tools and scanners can themselves leak source code, credentials or sensitive context to outside services.

Your turn

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THAT'S THE LINEUP · OCTOBER 16, 2026

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