
r/GeminiCLI

How to build an AGY WIKI OKF on the Antigravity CLI
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:
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:
- The "Lingua Franca" for Agents: Any agent can read it out of the box without platform-specific integrations.
- Seamless Context Passing: Specialized agents can access, update, and pass the exact same foundational context back and forth.
- Human-in-the-Loop Oversight: Because OKF is just Markdown and YAML, it’s inherently readable and auditable.
- 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.
Google killed Gemini CLI? Maybe, but this tool revives it. Use any model with Gemini CLI
Gemini CLI may be gone for many subscription-based users, but I built an open-source tool called Relay-AI that brings Gemini CLI back in a completely different way.
Relay AI lets you route Gemini CLI through different providers and models, including OpenAI GPT models via your GPT Plus subscription, or even free models from Ollama, OpenCode Zen, OpenRouter, and NVIDIA NIM 🔥
The repo includes a demo on how to install Relay AI (simple NPM install command): npm install -g @ jacobbd/relay-ai) how to configure LLM providers, create favorite models, launch Gemini CLI (relay-ai gemini), selecting Anthropic Fable 5, switching to Minimax M3, and testing real CLI/MCP workflows.
This tool also supports Codex CLI, Codex App, Claude Code CLI, and Claude Desktop (Cowork and Code Desktop).
Next major release (v0.4.0) will include Antigravity support (CLI, IDE, and whatever the third one is called;) and a web GUI.
Fully open source (MIT license). Enjoy, and happy to answer any questions.
Relay AI GitHub Repo: https://github.com/jacob-bd/relay-ai
Help: looking for alternative
Now, as Gemini cli shutted down, I look for another Agentic cli tool that has a good free plan... Agy CLI free plan is really short, and has only weekly reset
Gemini Code Assist + Visual Studio Code
I would like to ask what happened? Because that sudden change, I was on vacation and left the pc for a while, but before those I used Visual Studio Code along with the Gemini Code Assist extension and since I had the “pro” version bought I could create up to 1 or 4/5 days without stopping systems for the MTA SA community and I was creating my server (I’m still doing it) since it’s not an impediment. Then I went to “Antigravity” and used a PRO plan but this one is spent in a matter of nothing and you have to wait days to start again... and then I switched to Ultra and change is not much either, almost the same... then I reinstalled the Gemini Code Assist extension in the visual studio and in the Antigravity (it let me use it) but this one works very badly and damages any system. Any other recommendations? I’m making the refund...
I was wrong about Gemini 3.5 Flash
Has anyone else noticed how much better Gemini 3.5 Flash is for agentic workflows compared to 3.1 Pro?
I recently started testing 3.5 Flash(high), and it actually outperforms 3.1 Pro. Yes, it still has high token usage, but it has a much better grasp of the task at hand and covers bases that 3.1 Pro often misses. With 3.1 Pro, I usually have to do multiple edits and prompt tweaks to reach the same quality of output that 3.5 Flash gives me right out of the gate.
What is going on with the free tier gemini API rate limit?
For some reason my rate limit on the free tier of gemini API has not reset for many days now - from June 15. Its been 10 days from then and my rate limit on gemini 3.5 has not been restored. What is going on? Doesn't google mention that the rate limits on the free tier reset every 24 hours?
j'ai remplacé ActiveCampaign en 6 heures avec AGY CLI
Bah tout est dans le titre, je suis bluffé ! AGY CLI (ex-GEMINI CLI) m'a aidé à tous les niveaux du développement, ça a été hyper rapide, presqu'aucune erreur. Bref, la fin des CRM et des logiciels de marketing automation ? Probablement. Ils se sont assez goinfrés !