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"You've reached your rate limit. Try again after 7pm." every. fucking. day. $200/month - $2,400 a year - for Codex. then i opened the DeepSeek pricing page. Someone made DeepSeek a native subagent for Codex. Heavy work goes there, light stays on GPT-5. Same code out the other end. 35x cheaper. DeepSeek V4 Flash lives on its own API key, not on my Plus quota. One command: npx skills add oil-oil/codex-deepseek-subagent -g -y Restart Codex, tell it "set up DeepSeek as a subagent", done. First day in a month I'm still working in the evening instead of hitting the wall. save this before your next rate-limit ↓

"You've reached your rate limit. Try again after 7pm." every. fucking. day. $200/month - $2,400 a year - for Codex. then i opened the DeepSeek pricing page. Someone made DeepSeek a native subagent for Codex. Heavy work goes there, light stays on GPT-5. Same code out the other end. 35x cheaper. DeepSeek V4 Flash lives on its own API key, not on my Plus quota. One command: npx skills add oil-oil/codex-deepseek-subagent -g -y Restart Codex, tell it "set up DeepSeek as a subagent", done. First day in a month I'm still working in the evening instead of hitting the wall. save this before your next rate-limit ↓

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ANDREW NG JUST OPEN-SOURCED HIS OWN AI COWORKER. Stanford CS adjunct faculty. former head of Google Brain. 1,758,130 people follow him for AI. the repo is called OpenWorker. what comes back isn't a chat - it's finished work. 13,267 stars. 17 days old. MIT. what it does: - you name the outcome you want - it breaks that into steps and works across your own files - 25+ integrations - mention OpenWorker and a session opens on your desktop, the answer comes back in the thread - runs on a schedule - any model: OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Grok and so on your keys, tokens and conversations stay on your machine. the only cloud piece brokers OAuth. -> everyone else is selling you an assistant that lives at their place. this one lives at yours. save this before the next task you were about to do by hand.

ANDREW NG JUST OPEN-SOURCED HIS OWN AI COWORKER. Stanford CS adjunct faculty. former head of Google Brain. 1,758,130 people follow him for AI. the repo is called OpenWorker. what comes back isn't a chat - it's finished work. 13,267 stars. 17 days old. MIT. what it does: - you name the outcome you want - it breaks that into steps and works across your own files - 25+ integrations - mention OpenWorker and a session opens on your desktop, the answer comes back in the thread - runs on a schedule - any model: OpenAI, Anthropic, Gemini, DeepSeek, Kimi, Grok and so on your keys, tokens and conversations stay on your machine. the only cloud piece brokers OAuth. -> everyone else is selling you an assistant that lives at their place. this one lives at yours. save this before the next task you were about to do by hand.

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🚨 THIS IS ABSOLUTELY INSANE a developer just released a free tool that builds a vertical video with a talking presenter. out of one script and one photo. it's called lanshu-create-ai-presenter-video. it landed on GitHub two days ago. 267 stars. MIT. here's how it works: 1. You give it a script and a presenter photo you have the rights to. 2. The AI writes and voices the narration, generates the presenter, and locks the lips to the audio. 3. The skill edits, burns in subtitles and a cover, checks the sync, and hands back a master with a QA report. 9:16, 1080x1920, 30fps, 45-75 seconds. all of it happens in one run, on your own machine. save this before you sit down to cut your next video. i left the link in the next comment 👇

🚨 THIS IS ABSOLUTELY INSANE a developer just released a free tool that builds a vertical video with a talking presenter. out of one script and one photo. it's called lanshu-create-ai-presenter-video. it landed on GitHub two days ago. 267 stars. MIT. here's how it works: 1. You give it a script and a presenter photo you have the rights to. 2. The AI writes and voices the narration, generates the presenter, and locks the lips to the audio. 3. The skill edits, burns in subtitles and a cover, checks the sync, and hands back a master with a QA report. 9:16, 1080x1920, 30fps, 45-75 seconds. all of it happens in one run, on your own machine. save this before you sit down to cut your next video. i left the link in the next comment 👇

164,164 views • 26 days ago

He leads engineering on Gemini at Google. instead of keeping his Claude setup private, he open-sourced it. Addy Osmani. That Google: Chrome DevTools lead, "Learning JavaScript Design Patterns" author. 'agent-skills' - his personal loadout. Drop-in for any project. 68,925 stars. MIT. → bookmark it. This is how your Claude setup goes pro.

He leads engineering on Gemini at Google. instead of keeping his Claude setup private, he open-sourced it. Addy Osmani. That Google: Chrome DevTools lead, "Learning JavaScript Design Patterns" author. 'agent-skills' - his personal loadout. Drop-in for any project. 68,925 stars. MIT. → bookmark it. This is how your Claude setup goes pro.

468,629 views • 2 months ago

🤯 YOUR AGENT NOW READS THE ENTIRE INTERNET WITHOUT A SINGLE API KEY someone open-sourced this repo. it replaces $300/mo in paid APIs Agent Reach. #1 Repository of the Day on GitHub trending. 63,165 stars install it - and your agent reads: - any web page → clean markdown - YouTube → captions and search, plus 1800+ video sites - GitHub → repos, issues, search - X → timeline, search, full posts - Reddit → threads and comments - LinkedIn, Instagram, Facebook - RSS and semantic search across the whole web no keys. no subscriptions. important: your cookies stay on your machine. they never leave your agent has been guessing about the internet this whole time. save this before your next research task ↓

🤯 YOUR AGENT NOW READS THE ENTIRE INTERNET WITHOUT A SINGLE API KEY someone open-sourced this repo. it replaces $300/mo in paid APIs Agent Reach. #1 Repository of the Day on GitHub trending. 63,165 stars install it - and your agent reads: - any web page → clean markdown - YouTube → captions and search, plus 1800+ video sites - GitHub → repos, issues, search - X → timeline, search, full posts - Reddit → threads and comments - LinkedIn, Instagram, Facebook - RSS and semantic search across the whole web no keys. no subscriptions. important: your cookies stay on your machine. they never leave your agent has been guessing about the internet this whole time. save this before your next research task ↓

229,784 views • 1 month ago

🚨 stop rebuilding your agent harness. langchain just open-sourced the finished one. free sub-agent spawning, todo-list planning, a virtual filesystem, durable runs on LangGraph. batteries included. it's called deepagents. the exact harness you keep re-inventing - already done. 26,000+ stars. MIT. one install. you were about to build this again. don't. it's already done, and it's free. save it before your next agent build.

🚨 stop rebuilding your agent harness. langchain just open-sourced the finished one. free sub-agent spawning, todo-list planning, a virtual filesystem, durable runs on LangGraph. batteries included. it's called deepagents. the exact harness you keep re-inventing - already done. 26,000+ stars. MIT. one install. you were about to build this again. don't. it's already done, and it's free. save it before your next agent build.

182,873 views • 1 month ago

Vercel just solved the biggest problem with trusting agents to write your code. yesterday they shipped Foreman - an open-source software factory. 58 stars. Nobody's seen it yet. The idea? Instead of one agent writing, reviewing and merging its own work - rubber-stamping its own bugs… Foreman splits the loop into four stations, each one an agent in its own sandbox. And the reviewer runs on a DIFFERENT model vendor: it never sees the implementer's reasoning, only the pushed branch. The agents can't collude. The flow is simple: label an issue "factory" → work enters the line Classifier → triages it, asks questions if it's vague Analyst → turns it into a plan with acceptance criteria Implementer → codes it in a sandbox, runs your repo's own checks Reviewer → judges the branch against the criteria, can send it back twice you → get a draft PR. review, mark ready, merge It also keeps a "factory brain" - durable memory of your repo's quirks that survives across runs. Issue text can't write into it, so nobody prompt-injects your factory. -> MIT. One deploy button. Published by Vercel.

Vercel just solved the biggest problem with trusting agents to write your code. yesterday they shipped Foreman - an open-source software factory. 58 stars. Nobody's seen it yet. The idea? Instead of one agent writing, reviewing and merging its own work - rubber-stamping its own bugs… Foreman splits the loop into four stations, each one an agent in its own sandbox. And the reviewer runs on a DIFFERENT model vendor: it never sees the implementer's reasoning, only the pushed branch. The agents can't collude. The flow is simple: label an issue "factory" → work enters the line Classifier → triages it, asks questions if it's vague Analyst → turns it into a plan with acceptance criteria Implementer → codes it in a sandbox, runs your repo's own checks Reviewer → judges the branch against the criteria, can send it back twice you → get a draft PR. review, mark ready, merge It also keeps a "factory brain" - durable memory of your repo's quirks that survives across runs. Issue text can't write into it, so nobody prompt-injects your factory. -> MIT. One deploy button. Published by Vercel.

126,235 views • 1 month ago

🤯 YOUR AGENT NOW GETS ITS OWN COMPUTER - WITHOUT PAYING FOR GROK someone open-sourced the entire Grok Bot stack. Rakazo. 531 stars in 3 days on GitHub. -> install it - and your agent gets: - any LLM you pick (OpenRouter, ChatGPT, Copilot, or sign in with SuperGrok) - a live Linux desktop it can see, click, and type on - Docker, E2B, or your own Mac as the sandbox - web, desktop, and mobile - one product, your hardware - memory, routines, and history per bot - bots that spawn other bots, or subagents inside one turn - self-hosted. no Rakazo control plane required no vendor lock-in. no closed bot computer. important: still beta - you need Docker, Postgres, and your own model key. your agent has been renting someone else's sandbox this whole time. save this before the Grok team sees it ↓

🤯 YOUR AGENT NOW GETS ITS OWN COMPUTER - WITHOUT PAYING FOR GROK someone open-sourced the entire Grok Bot stack. Rakazo. 531 stars in 3 days on GitHub. -> install it - and your agent gets: - any LLM you pick (OpenRouter, ChatGPT, Copilot, or sign in with SuperGrok) - a live Linux desktop it can see, click, and type on - Docker, E2B, or your own Mac as the sandbox - web, desktop, and mobile - one product, your hardware - memory, routines, and history per bot - bots that spawn other bots, or subagents inside one turn - self-hosted. no Rakazo control plane required no vendor lock-in. no closed bot computer. important: still beta - you need Docker, Postgres, and your own model key. your agent has been renting someone else's sandbox this whole time. save this before the Grok team sees it ↓

40,696 views • 1 month ago

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