Rora World: break the overthinking loop.

• Problem: Most of us overthink the same decisions over and over (a job, a relationship, a should-I-or-shouldn't-I) and keep asking the question instead of acting on it. The tools meant to help don't break that loop. Journaling and meditation put the whole cognitive load on you, and friends can't hold the question without jumping to advice.
• Solution: Rora is built to interrupt that loop. Tarot as a thinking tool, not fortune-telling. You name what's actually on your mind, get a reading personalized to your specific situation rather than a generic spread, and every reading ends with one concrete action: something to try, express, or sit with. It also remembers. Past readings get organized into threads, and over time it surfaces patterns in what you keep circling back to, so it works more like a continuous mental journal than a one-off novelty.
• Competition: Existing apps know your sign. Rora knows your story. Astrology apps read your chart and the planets, the same fixed inputs for everyone born when you were. Most tarot apps give you a generic reading and forget you the moment you close them. Rora understands and remembers, so a it knows what you were stuck on a month ago and how your thinking has shifted since.
• Cost: 3 readings/week free, $9.99/mo or $69.99/yr for unlimited.
• Live on App Store only: https://apps.apple.com/us/app/rora-world/id6758863035

Built this as a solo overthinker, feedback welcome!

I used n8n, Telegram, and Google Sheets to automate publishing products to WooCommerce. No more manual work! It reads the product queue from Sheets and publishes it to WooCommerce via POST request.

More automations: Join our community: https://go.phonezait.de/

AGY Builders,

We are all trying to build useful and scalable workflows for our AGY CLI and ecosystem, but the speed at which we need to learn, build, and deploy new things is incredibly overwhelming. If you are feeling that pressure, you are in the right place here at r/GoogleAntigravityCLI.

Over the past few weeks, I have been testing an "AGY WIKI OKF" setup that I put together myself (after inviting some members of this community to collaborate; mod is not proud). I know some folks might hesitate to trust a tutorial from a random Redditor, but I wanted to share this with the community anyway because it actually works.

I was able to build this because I am all-in on Google and the Antigravity Ecosystem. I’m a truly AGY—I am not some ultra-smart, 10x developer, but I know how to work hard, I dig for the right information, and I iterate.

AGY WIKI OKF | The Idea

To build a frictionless, token-efficient knowledge WIKI engine that transforms static documentation or notes (information) into an active, intelligent collaborator—orchestrated entirely by Antigravity CLI.

The core philosophy is simple: treat knowledge management as a clean pipeline and tokens as a premium, finite resource.

By anchoring this architecture to Google’s Antigravity CLI, the AGY WIKI OKF bypasses heavy middleware and complex UI layers, delivering a hyper-focused AI partner built entirely for execution speed, context hygiene, and minimal footprint.

Why adopting AGY WIKI OKF matters:

• Stay organized (AGY OCD): Structured Markdown and YAML keep the chaos in check.
• Save tokens: Doing more with less context window bloat.
• Scale shareable knowledge: Making it easy to pass context and logic between different LLMs.
• Humans and Agents working together: One standardized, readable format that works perfectly for both of us.
• BYOD (Bring Your Own Data): Own your context. Port it to the newest model, platform, or OS instantly.

The Tools

• Antigravity CLI
• Obsidian : The IDE for the Knowledge bank
• Obsidian Web Clipper:
  • Official Site
  • Chrome Web Store
  • Firefox Add-on

The WIKI

In the agent-first era, a WIKI is no longer just a static graveyard for human notes; it is the operational hard drive for your agents. By maintaining a highly structured WIKI, you ensure that every piece of context is stored in a clean, machine-readable format. This means that whether you are testing a new modular skill or spinning up a specialized agent, your AGY CLI knows exactly where to find the precise context it needs to generate autonomous action, moving you far beyond simple, reactive conversational text.

Reference: Gist on Knowledge Representation

Google Open Knowledge Format (OKF)

Google’s Open Knowledge Format (OKF) feels like the exact missing piece we've needed for orchestrating multiple AI agents effectively. It provides a vendor-neutral, interoperable standard for storing and sharing organizational knowledge.

Why this is huge for orchestration:

1. The "Lingua Franca" for Agents: Any agent can read it out of the box without platform-specific integrations.
2. Seamless Context Passing: Specialized agents can access, update, and pass the exact same foundational context back and forth.
3. Human-in-the-Loop Oversight: Because OKF is just Markdown and YAML, it’s inherently readable and auditable.
4. Scalable Knowledge: It acts as a shared, living library that grows alongside your agents.

AGY WIKI OKF Integration

Structuring an AGY Wiki using OKF revolutionizes how complex knowledge is shared. By standardizing documentation with concise Markdown and YAML frontmatter, OKF provides a unified taxonomy for cataloging AGY CLI slash commands or skills It is highly token-efficient, stripping away bloated formatting and maximizing context window limits.

The Prompt for Building an AGY WIKI OKF

AGY CLI WIKI OKF PROMT EXAMPLE

/grillme I want to initialize a brand-new, empty Obsidian vault from scratch that adheres strictly to the Open Knowledge Format (OKF) standard, with the specific intent of potentially open-sourcing or sharing this architecture later. I want a purely blank, skeletal framework with no pre-populated data. Please grill me to define the optimal architectural blueprint for this vault. I need you to interrogate me on: Do not generate the directory structure or files until you are satisfied that you have captured all my requirements for a production-ready, shareable knowledge base. 
Core Directory Hierarchy: How should we structure the root (e.g., /concepts, /resources, /indices, /log) to be intuitive for external users? Template Strategy: What base boilerplate templates do we need to ensure every new file is automatically OKF-compliant and structured for consistent metadata? Workflow Logic: Since this is a fresh start, what processes should we bake in for capturing information vs. refining knowledge that could be easily documented for others? CLI Integration: What specific file locations or configurations do we need to ensure this vault plays nicely with the Antigravity CLI from day one? Open-Source & Contributor Documentation: What files should we create to make this a "deployable" standard? Please include requirements for: A README.md with installation and usage instructions. A CONTRIBUTING.md that defines how to add new concepts or schemas. A "System Architecture" document that explains the logic behind the folder structure and metadata fields, ensuring anyone who clones this vault understands how to extend it.

The Final File Structure

AGY WIKI OKF
    ├── .agyrc
    ├── ARCHITECTURE.md
    ├── CONTRIBUTING.md
    ├── README.md
    ├── .agy
    │   └── .keep
    ├── .obsidian
    │   ├── app.json
    │   ├── appearance.json
    │   ├── core-plugins.json
    │   └── workspace.json
    ├── 00-Inbox
    │   └── .keep
    ├── 10-Projects
    │   └── .keep
    ├── 20-Areas
    │   └── .keep
    ├── 30-Resources
    │   ├── .keep
    │   └── Google Antigravity Documentation.md
    ├── 40-Archive
    │   └── .keep
    ├── 99-Meta
    │   └── Templates
    │       ├── Base_Template.md
    │       ├── Project_Template.md
    │       └── Resource_Template.md
    └── Clippings

TL;DR

• AGY WIKI OKF: Organizes your information (context) , AGY CLI commands, skills  behaviors, and A2A workflows into a token-efficient, shareable format that reduces inference costs for any LLM.
• Open Knowledge Format (OKF): Provides a standardized, vendor-neutral way to share context (Markdown + YAML), preventing platform lock-in and eliminating data fragmentation.

AGY Builders, I genuinely want your input on this. Please comment, grill me, roast me, ask questions, or give me your raw feedback on this AGY WIKI OKF setup. We are building the foundation to organize and share our data in the BYOD era. Let's build the future together.

If you downloaded Prelude recently and noticed your therapy prep sessions getting cut off early, that was a real bug and not your device. The iOS 26.4 update changed how the foundation models behave on-device and it was tearing down sessions before they could complete. Basically unusable.

I shipped v1.0.2 this week with the fix. Sessions run to completion now and the brief generation works properly again.

For context, Prelude runs fully on-device with no backend, no cloud, no third-party APIs. Everything stays local. That’s the whole point of the app. So when the foundation model behavior shifted in 26.4, there was no server-side patch I could push. Had to ship a proper update.

If you tried it and gave up, worth giving it another shot. And if you’re on auto-updates you probably already have it. The next update coming in a few days will have barge-in support.

App Store: https://apps.apple.com/us/app/prelude-therapy-prep/id6761587576

I love dreams, interpretation and seeing what my entities mean and get the point of lucid dreaming!! So I did something today... I GOT APPROVED FOR MY FIRST APPLE APP!

This is free to everyone so this isn't advertising or money making at all, I want to give you all access to this app which instantly records and interprets your dreams when you wake up. I always forget!

I am not a developer and I'm not a company, just love the process. I'd LOVE to know your thoughts, what I need to add or what you don't like. I'll never make any of you pay, it's just my gift to this community. If you have an iphone, i'd be honored if you checked it out:

https://apps.apple.com/app/id6766303798

Thanks everyone!

Dave

I've spent the last few months building something and I'm finally at the point where I want to share it properly rather than just quietly hoping people find it.

The idea came from a frustration I kept seeing (and feeling myself): SQL tutorials teach the syntax fine but there's never a reason to care about the answer. You filter a table called employees, get a result, and nothing happens. Your brain doesn't bother keeping it.

I wanted to try a different approach. QueryCase teaches SQL through detective investigations. You get a briefing from Chief Fox (our mascot), a real database to query, and a mystery to crack. The JOIN matters when a suspect has an alibi. The WHERE clause matters when you're trying to find who entered the building at 22:13. The SQL is the tool for solving something, not the point in itself.

Here's what's actually in it:

• A structured learning path across 54 cases, going from Recruit through Rookie, Detective, Senior Detective, and Chief Detective. Each rank has drills and a level exam to pass before you progress.
• Sandbox mode where you can explore real datasets (IMDB movies, Spotify, sports stats, Steam games) and run whatever you want with no pressure and no mystery attached. Just free exploration against actual data.
• Everything runs in the browser using DuckDB WASM so there's nothing to install.

I'm a solo developer and this is genuinely early days. I'm sharing here because this community is exactly the kind of people I built it for, and I'd rather get honest feedback now than find out later I've built the wrong thing.

What's missing? What would make you actually stick with something like this versus what you've used before?

querycase.com if you want to take a look.

Any feedback appreciated!