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Codex CLI will have MULTI-AGENT support in 0.123.0 Here's how it will work: → 1. Add `multi_agent=true` in ~/codex/config.toml under [features] → 2. Toggle with `/experimental` → 3. Three built-in agents (default, explorer, worker) → 4. Define your own agents ``` [agents.researcher] description = "Research-focused role." config_file = "~/.codex/agents/researcher.toml"...

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Chong-U

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35,146 görüntüleme • 3 ay önce •via X (Twitter)

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GPT 5.4 has been released... + 1M context window! Here's how to enable in Codex: → 1. ~/.codex/config.toml → 2. model = "gpt-5.4" → 3. model_context_window=1000000 → 4. model_auto_compact_token_limit=9000000 Run codex → 5. /statusline → 6. toggle context-window-size I didn't even realise Codex had a statusline tool!
0:20

GPT 5.4 has been released... + 1M context window! Here's how to enable in Codex: → 1. ~/.codex/config.toml → 2. model = "gpt-5.4" → 3. model_context_window=1000000 → 4. model_auto_compact_token_limit=9000000 Run codex → 5. /statusline → 6. toggle context-window-size I didn't even realise Codex had a statusline tool!

Chong-U

76,354 görüntüleme • 3 ay önce

Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.
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Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.

Peter Gostev

101,848 görüntüleme • 8 ay önce

Introducing watchmen. It writes the skill files your coding agents should already have from your own sessions, shared across Claude Code, Codex, and pi, so you stop paying tokens to re-explain what your agent learned last week. Local and open-source.
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Introducing watchmen. It writes the skill files your coding agents should already have from your own sessions, shared across Claude Code, Codex, and pi, so you stop paying tokens to re-explain what your agent learned last week. Local and open-source.

Dria

43,502 görüntüleme • 20 gün önce

Introducing GPT-5.3-Codex-Spark, our ultra-fast model purpose built for real-time coding. We’re rolling it out as a research preview for ChatGPT Pro users in the Codex app, Codex CLI, and IDE extension.
0:55

Introducing GPT-5.3-Codex-Spark, our ultra-fast model purpose built for real-time coding. We’re rolling it out as a research preview for ChatGPT Pro users in the Codex app, Codex CLI, and IDE extension.

OpenAI Developers

816,936 görüntüleme • 3 ay önce

This is so cool. In the next Codex update, multi agents will get a massive flexibility upgrade. "Hey Codex, when you implement this plan, I want you to delegate all the lower complexity tasks to GPT 5.3 Spark subagents" Instead of needing to create 100 different custom agent roles for different situations, you can just prompt your agent to spawn whatever model or reasoning level you want. With only natural language. No config files. No pre-defined roles. Just tell the orchestrator what to use and it listens.
0:41

This is so cool. In the next Codex update, multi agents will get a massive flexibility upgrade. "Hey Codex, when you implement this plan, I want you to delegate all the lower complexity tasks to GPT 5.3 Spark subagents" Instead of needing to create 100 different custom agent roles for different situations, you can just prompt your agent to spawn whatever model or reasoning level you want. With only natural language. No config files. No pre-defined roles. Just tell the orchestrator what to use and it listens.

am.will

127,465 görüntüleme • 2 ay önce

I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.
4:29

I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.

am.will

16,916 görüntüleme • 3 ay önce

Introducing multi-agent orchestration in Oz, with support for Claude Code, Codex and the Warp Agent. Use /orchestrate to delegate complex tasks across a team of agents, locally or in the cloud.
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Introducing multi-agent orchestration in Oz, with support for Claude Code, Codex and the Warp Agent. Use /orchestrate to delegate complex tasks across a team of agents, locally or in the cloud.

Warp

1,182,838 görüntüleme • 20 gün önce

You can build a coding agent in 20 seconds with gpt-5.3-codex-spark
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You can build a coding agent in 20 seconds with gpt-5.3-codex-spark

Nick

33,068 görüntüleme • 3 ay önce

We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.
4:21

We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.

OpenAI Developers

1,303,086 görüntüleme • 4 ay önce

🚨 OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it Every 📧 for a few days, and I’m impressed. I invited Alexander Embiricos (ben davies), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I: What Codex is and how it works Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel. Codex is built to have "taste" OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code. Why an “abundance mindset” is best for interacting with agents Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds. How OpenAI is thinking about agents Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. OpenAI’s vision for the future of programming In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding. Watch below!
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🚨 OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it Every 📧 for a few days, and I’m impressed. I invited Alexander Embiricos (ben davies), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I: What Codex is and how it works Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel. Codex is built to have "taste" OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code. Why an “abundance mindset” is best for interacting with agents Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds. How OpenAI is thinking about agents Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. OpenAI’s vision for the future of programming In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding. Watch below!

Dan Shipper 📧

145,487 görüntüleme • 1 yıl önce

you guys keep waiting for Codex ios app, here im using this app to run multiple agents in parallel from my phone using my exisiting ai subscriptions and its 100% free and opensource you can use: > Codex > Claude Code > Opencode > and any CLI agent and thats not it, theres more: > Browser to run localhost with devtools > Code Editor with file explorer > Terminal > Git > Port forwarding and manage ports from phone > API testing client (like Postman) and many more... links in the replies 👀
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you guys keep waiting for Codex ios app, here im using this app to run multiple agents in parallel from my phone using my exisiting ai subscriptions and its 100% free and opensource you can use: > Codex > Claude Code > Opencode > and any CLI agent and thats not it, theres more: > Browser to run localhost with devtools > Code Editor with file explorer > Terminal > Git > Port forwarding and manage ports from phone > API testing client (like Postman) and many more... links in the replies 👀

Gruz

24,753 görüntüleme • 28 gün önce

Web search is now enabled by default for the Codex CLI and IDE Extension 🎉 By default it will use a web search cache but you can toggle live results or if you use --yolo live results are enabled by default. More details in the changelog 👇
0:25

Web search is now enabled by default for the Codex CLI and IDE Extension 🎉 By default it will use a web search cache but you can toggle live results or if you use --yolo live results are enabled by default. More details in the changelog 👇

dominik kundel

265,718 görüntüleme • 4 ay önce

I built a real estate AI Agent team with multi-agents using gpt-OSS and Firecrawl. It has 3 AI agents working together as a team: 1. Property Search Agent 2. Market Analysis Agent 3. Property Valuation Agent 100% Opensource with step-by-step tutorial.
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I built a real estate AI Agent team with multi-agents using gpt-OSS and Firecrawl. It has 3 AI agents working together as a team: 1. Property Search Agent 2. Market Analysis Agent 3. Property Valuation Agent 100% Opensource with step-by-step tutorial.

Shubham Saboo

116,613 görüntüleme • 10 ay önce

Introducing Electric Agents! Agents are not compute. Agents are data. Multi-agent is a sync problem. Electric Agents is the first agent platform built on sync. Use it to build scalable, collaborative, long-lived multi-agent systems: 🧵👇
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Introducing Electric Agents! Agents are not compute. Agents are data. Multi-agent is a sync problem. Electric Agents is the first agent platform built on sync. Use it to build scalable, collaborative, long-lived multi-agent systems: 🧵👇

Electric

72,866 görüntüleme • 1 ay önce

With the Codex app you can: - Multitask effortlessly: Work with multiple agents in parallel and keep agent changes isolated with worktrees - Create & use skills: package your tools + conventions into reusable capabilities ⁃ Set up automations: delegate repetitive work to Codex with scheduled workflows in the background
2:12

With the Codex app you can: - Multitask effortlessly: Work with multiple agents in parallel and keep agent changes isolated with worktrees - Create & use skills: package your tools + conventions into reusable capabilities ⁃ Set up automations: delegate repetitive work to Codex with scheduled workflows in the background

OpenAI

395,072 görüntüleme • 4 ay önce

🧪 Experimental: Use OpenCode with Claude Code, Codex, and Amp - Universal coding agent control - HTTP API for sandboxed agents - OpenCode TUI, web UI, SDK Available in Sandbox Agent SDK 0.1.6
2:05

🧪 Experimental: Use OpenCode with Claude Code, Codex, and Amp - Universal coding agent control - HTTP API for sandboxed agents - OpenCode TUI, web UI, SDK Available in Sandbox Agent SDK 0.1.6

Nathan Flurry 🔩

120,803 görüntüleme • 4 ay önce

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads
36:41

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads

TBPN

639,180 görüntüleme • 4 ay önce

I built an automated AI competitor analyis team with multi-agents. It has 3 AI agents working together as a team: 1. Data Extraction Agent using Firecrawl 2. Analyst Agent using OpenAI GPT-4o 3. Competitor Research Agent using Perplexity AI or Exa AI 100% Opensource code.
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I built an automated AI competitor analyis team with multi-agents. It has 3 AI agents working together as a team: 1. Data Extraction Agent using Firecrawl 2. Analyst Agent using OpenAI GPT-4o 3. Competitor Research Agent using Perplexity AI or Exa AI 100% Opensource code.

Shubham Saboo

65,158 görüntüleme • 1 yıl önce

New Release: Agents API Run Blackbox CLI, Claude Code, Codex CLI, Gemini CLI and more agents on remote VMs powered by Vercel sandboxes with 1 single api implementation
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New Release: Agents API Run Blackbox CLI, Claude Code, Codex CLI, Gemini CLI and more agents on remote VMs powered by Vercel sandboxes with 1 single api implementation

BLACKBOX AI

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I built an automated AI travel agency with multi-agents. It has 4 MCP AI agents working together as a team: 1. Google Maps Agent 2. Airbnb Booking Agent 3. Google Calendar Agent 4. Weather Agent 100% Opensource Code with step-by-step tutorial.
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I built an automated AI travel agency with multi-agents. It has 4 MCP AI agents working together as a team: 1. Google Maps Agent 2. Airbnb Booking Agent 3. Google Calendar Agent 4. Weather Agent 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

138,924 görüntüleme • 1 yıl önce