Codex
Model ● Covered in 135 stories + Follow
Codex is an AI coding model referenced across several recent reports, including its use in research and developer workflows. Coverage describes researchers and engineers using Codex alongside other tools to run tasks—from searching genomic data for antimicrobial molecules to accelerating feature and internal tool development at 1Password. It has also been positioned as part of tooling ecosystems such as shared workspaces and emerging model releases, with Codex users reporting signals of potential upcoming GPT-6/Astra model entries.
Updated 13 September 2026
Specifications
No specifications recorded yet.
Latest developments
Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data
MarkTechPost · 18 hours ago ·
50
Agentic Test Processes, LLM Benchmarks, and Other Notes on Agentic Coding from Galapagos Island
danluu.com · 1 day ago ·
26
OpenArtifacts publishes reviewable HTML/Markdown artifacts from code assistants
OpenArtifacts · 1 day ago ·
4
Meta lets Claude and Codex configure WhatsApp Business via MCP
The New Stack · 1 day ago ·
44
Die With Me
Product Hunt · 1 day ago ·
42
Meta now lets AI agents handle the boring parts of WhatsApp Business setup
TechCrunch · 1 day ago ·
49
OpenAI’s researchers burned $7,000 a day on AI agents — now it’s opening the floodgates
The New Stack · 5 days ago ·
37
Introducing the OpenAI Agents API
TLDR Dev · 6 days ago ·
41
2026
Stanford researchers released Paper2Agent, a system that converts research papers and codebases into MCP server–backed AI agents for reproducible execution on new data Research publication
Meta launched a WhatsApp Business Tools MCP server enabling AI agents to automate WhatsApp Business account setup and configuration Feature update
OpenAI introduced the Agents API, a public-beta managed API for building and running long-running cloud-based AI agents Feature update
OpenAI announced an AI-generated, formally verified result for the Navier–Stokes Millennium Prize Problem using an internal multi-agent system Research publication
OpenAI launches GPT-6 Astra, a computer-use model with a 1.05M-token context window and staged enterprise/API access Model release
OpenAI’s head of data centers Chris Malone left the company following an infrastructure reorganization Executive move
OpenAI and industry outlets report on enterprises adopting agentic AI to move from question answering to executing multi-step tasks Research publication
OpenAI launched a preview Linux desktop app for ChatGPT and Codex Deployment
Meta releases Muse Code, a beta terminal-based AI coding agent built on its Muse Spark 1.2 model Product launch
Meta releases Muse Code terminal agent and Muse Spark 1.2 coding model Model release
OpenAI announces 80% price reduction for GPT-5.6 Luna and introduces new models with lower pricing Pricing change
Multiple Approaches to AI Agent Skill Optimization and Management Techniques Published Research publication
OpenAI releases GPT-5.6 model family with efficiency improvements and significant price reductions Model release
- Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data
- Agentic Test Processes, LLM Benchmarks, and Other Notes on Agentic Coding from Galapagos Island
- OpenArtifacts publishes reviewable HTML/Markdown artifacts from code assistants
- Meta lets Claude and Codex configure WhatsApp Business via MCP
- Die With Me
- Meta now lets AI agents handle the boring parts of WhatsApp Business setup
- OpenAI’s researchers burned $7,000 a day on AI agents — now it’s opening the floodgates
- Introducing the OpenAI Agents API
- How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules
- Jackalope
- On the Navier–Stokes Millennium Prize Problem
- How GPT-5.6 Sol helps run quantum computing experiments
- 1Password increases engineering productivity 21% with Codex
- “Twenty years of brand building simply froze in time”: How coding agents select their tools of choice
- OpenAI Releases GPT-6 Astra: A 1.05M-Context Computer-Use Model Gated Behind a ‘Critical’ Cyber Threshold
- Codex users spot potential new model entries suggesting “Astra”/GPT-6
- QApilot MCP for Android
- Polimill builds Japan's next-generation public AI infrastructure
- Claude, Codex, and Hermes installed unowned code inside corporate networks
- OpenAI’s executive exodus has one big winner
- CTRL Micro
- How ChatGPT Work helps Stampli move ideas to market
- Codex can now keep coding while it waits for your answer
- Marble MCP
- Asana cleared 5 years of engineering work in 2 weeks with Codex
- Shepherd Terminal
- ChatGPT’s Computer History tracks your clicks and keystrokes
- OpenTrade
- Munder Difflin
- From assistance to execution: How enterprises put AI to work
- OpenAI’s ChatGPT/Codex desktop app is now on Linux
- Supernova
- Meta’s new coding agent is cheap (but it’ll cost you your data).
- DocsAlot CLI
- Watcher Monitors and Secures AI Code Execution
- Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch
- Meta Launches Muse Code to Rival Claude Code and OpenAI’s Codex
- Meta greift mit Muse Code Anthropic und Codex von OpenAI an
- Meta Launched Muse Code
- Microsoft’s SkillOpt Shows Optimized Agent Skill Artifacts Transfer Across Model Scales and Between Codex and Claude Code Harnesses
- Meta launches Muse Code, an AI agent for large code bases
- Hackers are persuading coding agents to ignore their own safety rules
- Today’s Codex will feel “primitive” by fall — and its own team’s roadmap backs it up
- Y Combinator Open-Sources QM: An MIT-Licensed Multiplayer Agent Harness That Runs In Slack And The Web
- Advancing the price-performance frontier with GPT-5.6
- Circles powers telco personalization with OpenAI technology
- Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks
- Agent Manager
- [AINews] GPT 5.6 price cut by 20%-80%: Cost of GPT 5.4 Intelligence dropped 13x in 4 months due to GPT 5.6 recursive self-optimization
- How ChatGPT Optimizes its Agent Loop: Harness, API, and Inference
Relationships
Products & technology
- OpenAI develops this model · 65 sources
- OpenAI integrated with this model · 4 sources
- Integrated with ChatGPT · 2 sources
- AWS integrated with this model · 2 sources
- Endava deploys this model · 2 sources
- Integrated with Ona · 1 source
- Supplies LTX-Video · 1 source
- Integrated with Amazon Bedrock · 1 source
- Integrated with send_user_message_async · 1 source
- Datadog integrated with this model · 1 source
- CyberAgent deploys this model · 1 source
Competition
- Competes with Claude Code · 1 source