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## Running Antigravity CLI on Termux.md

      
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                Brajesh2022
                / Running Antigravity CLI on Termux.md
            
            
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              July 20, 2026 16:08
            
              
                Antigravity CLI on Termux: Auto-Installer and Manual Patching Guide
              
          
    🚀 Recommended Installation (Auto-Installer)


The easiest and community-recommended way to install Antigravity CLI on Termux is using the standalone auto-installer.
curl -fsSL https://raw.githubusercontent.com/wallentx/antigravity-cli-termux/dev/install.sh | bash
How it works: This script instantly installs the latest release directly from the wallentx/antigravity-cli-termux repository. A huge thanks to the original repository owner, @wallentx, for packaging these releases! The repository automatically runs a GitHub Action every six hours that fetches the official binary and patches it using the exact methods outlined in this guide below.

  
## llm-wiki.md

      
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                karpathy
                / llm-wiki.md
            
            
              Created
              April 4, 2026 16:25
            
              
                llm-wiki
              
          
    LLM Wiki

A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

  
## tldv.py
from datetime import datetime
from os import system
import requests
import json

## Please install ffmpeg before running this script and make sure it's in your PATH
## brew install ffmpeg

## Please install requests before running this script
## pip3 install requests

## index.html
<!DOCTYPE html>
<html>
<head>
    <title></title>
	<meta charset="utf-8" />
    <script src="Scripts/jquery-1.9.1.min.js"></script>
    <link href="Content/bootstrap.min.css" rel="stylesheet" />
    <script src="Scripts/isRockFx.js"></script>
    <script>
        $(function () {

## free-davinci-resolve-studio.md

      
              1 file
            
          
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              5 stars
            
          
                Unbreak4ble
                / free-davinci-resolve-studio.md
            
            
              Last active
              July 20, 2026 15:59
            
              
                free davinci resolve 18.6.5 studio
              
          
    step 1

if you don't have this version installed, download here and install it.
step 2

execute the command line bellow on terminal.
sudo perl -pi -e 's/\x00\x85\xc0\x74\x7b\xe8/\x00\x85\xc0\xEB\x7b\xe8/g' /opt/resolve/bin/resolve
it will replace some bytes of the executable file.

  
## oc.md

      
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                mberman84
                / oc.md
            
            
              Created
              February 16, 2026 19:42
            
              
                OpenClaw Prompts
              
          
    OpenClaw Prompts - Build Your Own AI Assistant

Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

1. Personal CRM
"Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."
2. Meeting Action Items (Fathom)

  
## index.pug
#root
	from datetime import datetime
	from os import system
	import requests
	import json

	## Please install ffmpeg before running this script and make sure it's in your PATH
	## brew install ffmpeg

	## Please install requests before running this script
	## pip3 install requests
	<!DOCTYPE html>
	<html>
	<head>
	<title></title>
	<meta charset="utf-8" />
	<script src="Scripts/jquery-1.9.1.min.js"></script>
	<link href="Content/bootstrap.min.css" rel="stylesheet" />
	<script src="Scripts/isRockFx.js"></script>
	<script>
	$(function () {