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Agent Framework

OpenAI Codex

OpenAI's agentic coding tool (CLI, IDE, and cloud) that runs agents and connects to MCP servers and skills.

  • Sato Score88
ActiveVerifiedActive · today

OpenAI Codex is a partly open-source agent framework by OpenAI, with last code activity on 2026-10-23 (Active). Latest release on 2026-10-23. Sato Score 88/100 (how open, active and verifiable it is, not a safety grade), as of 2026-10-24. How the score works →

See how to install OpenAI Codex →

Last commit Oct 22, 2026 · Last release Oct 23, 2026 (rust-v0.165.0-alpha.1) · ★ 130,453

Listed from openai.com on 2026-06-08. Install: reproduced by Sato Hub on 2026-09-25. Evidence →

Next step

Watch OpenAI Codex

One email if what we observe changes — its repo goes quiet or disappears, or the listing is retired. Nothing else.

Check it from your agent

Add Sato Hub’s MCP server (no key), then ask:

https://satohub.ai/api/mcp
Run Sato Hub Preflight on openai/codex before I use it.
Full setup: Claude Code, Cursor, others →

Your project?

Prove you control the domain and correct this page — description, links, tags, chains. A claim proves control, not verification: it never changes the Sato Score.

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Overview

OpenAI Codex is an agentic coding system spanning a CLI, IDE extensions, and a cloud agent. It executes multi-step coding tasks and connects to MCP servers, so onchain agent skills and MCPs (Bankr, CryptoSkills, Base MCP, OpenSea, etc.) can be wired into it. The Codex CLI is open source; the underlying models are proprietary. It is a general-purpose harness rather than an onchain agent.

Sato Score

88/100· High

How open, active & verifiable — not a safety or returns grade.

Maintenance & liveness
35/35
Code transparency
16/20
Interface verifiability
8/10
Docs & demo
6/10
Listing transparency & provenance
15/15
Independent verification
8/10

Independently verified — listing reviewed against evidence, never self-reported.

Sato Check

v0.164.0 · as of 2026-10-23
Does it take your key?
No key read found
Does your key leave?
Not yet run · earlier run 2026-10-19: not observed
Can it move funds on its own?
Unknown
Full profile, evidence and limits →

A profile describes what we read and ran, with dates. It is not a safety rating, an audit or an endorsement, and "not found" is not "not there".

Evidence — listed vs checked · what the words mean

Listed from openai.com on 2026-06-08. Install: reproduced by Sato Hub on 2026-09-25.

ClaimValueEvidenceSourceChecked
Chains supportednot statedself-reporteddevelopers.openai.comas of 2026-10-24
Verification statusVerifiedreview date and evidence link not recorded on this listing✓ reviewed—not dated
Recent activitylast release 2026-10-23 · last commit 2026-10-22observedgithub.com/openai/codex2026-10-24
Install worksreproduced — install and entry both completedshows the install path works as written; not a statement about runtime behaviour✓ reproducedgithub.com/openai/codex2026-09-25
Website answersanswered, but declined our check (HTTP 403)observedopenai.com2026-10-24
Daily check record53 of 53 daily checks since 2026-09-01 succeededa success rate of our checks, not uptime; the source is this listing's own historyobserved—2026-10-23
Takes your keyno private-key read found in what we readtracedsatohub.ai2026-10-23
Key leaves the machinenot yet run with planted test keysthe sandbox lane has not run on this versionobservedsatohub.ainot dated
Moves funds on its ownunknown — could not read what it exposestracedsatohub.ai2026-10-23
Built byOpenAIconfidence 0.95self-reportedgithub.com/openai/codexas of 2026-06-25
Creator profilehttps://github.com/openaiconfidence 0.90self-reportedgithub.com/openai/codexas of 2026-06-25
Deploys asSelf-hosted, Hosted, npmconfidence 0.85self-reportedgithub.com/openai/codexas of 2026-06-25
Works withMCP, VS Code, Cursor, Windsurf, ChatGPTconfidence 0.80self-reportedgithub.com/openai/codexas of 2026-06-25
Sato Score88/100 (High)how open, active and verifiable — not a safety or quality gradecomputedsatohub.ai2026-10-24

Self-reported rows are the project’s own words, dated when we recorded them — not a check. Only reproduced and reviewed rows carry a mark. None of these rows is a safety or quality rating.

Install — reproduced in a container Sep 25, 2026

Runtime: Node.js

npm install -g @openai/codex
# or: brew install codex
codex   # start the Codex CLI

You supply: An OpenAI account — ChatGPT sign-in or an API key (OPENAI_API_KEY)

Read from the project’s own docs as of 2026-09-25. What a deploy spec is →

Observed record — 91 daily checks since 2026-07-26

100%of 54 checks since 2026-09-01 succeeded
Currently responding for 54 days
Succeeded
54
Failed
37
Their error
0
Unattributed
37

State changed on 2026-09-01 (unclear → responding).

This is the share of our daily checks that succeeded — not an availability guarantee. A check can fail because the host was down, because our runner timed out, or because the network in between dropped it, and only the first of those is a fact about this project. Failures are split by what we can attribute; anything we cannot attribute is counted, not hidden. 37 of these checks predate 2026-09-01, when the probe counted a bot-block (HTTP 403) as a failure and recorded no reason for any failure. The rate above leaves those checks out; the counts include them.

Last 30 days — to 2026-10-24, one point per UTC day

Share of OUR checks that succeeded
100%
7-day rolling; unattributable days are gaps · 30/30 days
Tools listed
fewer than 2 points—
from the server's own tools/list · 0/30 days
Sato Score
88
as snapshotted that day · 29/30 days

A gap is a day we have no attributable observation — never a zero. Thirty points is the whole shape the free layer carries; the daily rows behind it stay in the snapshot series.

Skills that target this — 2, with disclosures

nature-image2pptskills.sh · yuan1z0825

6,820 installs

"Reconstruct slide images, screenshots, scanned PDFs, or image-only PPTX files as object-level editable PowerPoint. Use for 图片转可编辑PPT、截图还原PPT and diagram reconstruction; not authoring a new deck from research notes."

no disclosure flags from the static scan

gan-style-harnessskills.sh · affaan-m

4,060 installs

GAN(生成的敵対ネットワーク)スタイルの評価ハーネス、画像生成パターン、および品質メトリクス。

no disclosure flags from the static scan

Disclosures describe what a skill declares and does; they are not safety verdicts. All skills →

Details

Chains
Unknown
Agent types
Agent Harness, Coding Agent, Skill Runtime
Open source
Partial
Pricing
ChatGPT plans / API usage
Deploys as
Self-hosted, Hosted, npm
Works with
MCP, VS Code, Cursor, Windsurf, ChatGPT
Last checked
2026-10-24

Marketplace Signals

  • ▸ Functional agent

Verification status reflects evidence reviewed by Sato Hub. Self-reported claims are never presented as verified.

#agent-harness#agent-framework#coding-agent#mcp#onchain-skills#openai
See something inaccurate or outdated?Submit a correction →

Recent Activity

All news →

Releases and posts from OpenAI Codex, pulled from its GitHub and X.

Listing History

Recorded changes to OpenAI Codex's listing — status, verification, Sato Score, and recent releases. Full history is kept in the listing record.

  1. Oct 23, 2026
    New release published
  2. Oct 22, 2026
    New release published
  3. Sep 25, 2026
    Verified: deploy spec
  4. Jul 28, 2026
    70 releases tracked
    Showing the 2 most recent. Full release history is retained in the listing record.
  5. Jul 27, 2026
    Sato Hub began tracking this listing
  6. Jul 14, 2026
    Enriched: is agent
  7. Jun 25, 2026
    Auto-enriched: creator name, creator profile url, deployment options, supported integrations +1 more

Compared with

Appears in

Related Resources

Reference

QuestionsShowHide

Questions people ask about OpenAI Codex

Is OpenAI Codex open source?
Partly. Some of OpenAI Codex is published as source (https://github.com/openai/codex) and some is not. Checked as of 2026-10-24.
Which chains does OpenAI Codex support?
Sato Hub has no confirmed chain list for OpenAI Codex as of 2026-10-24; treat chain support as unknown.
Is OpenAI Codex still maintained?
The most recent code activity Sato Hub observed was on 2026-10-23 (last commit 2026-10-22, last release 2026-10-23), which Sato Hub labels "Active". Posts on X are not counted as maintenance. Activity is a recency signal, not a quality judgment.
How do I install or run OpenAI Codex?
Node.js. Install: npm install -g @openai/codex && # or: brew install codex. Entry: codex # start the Codex CLI. Sato Hub reproduced this install in a container on 2026-09-25.
Is OpenAI Codex verified on Sato Hub?
Sato Hub holds one earned check for OpenAI Codex: Independently verified — listing reviewed against evidence, never self-reported. Its Sato Score is 88 of 100, a measure of how open, active and verifiable the project is, not a safety, quality or returns grade.
Cite this pageShowHide

Cite this page

Sato Hub. "OpenAI Codex — Sato Hub." Sato Hub, updated 2026-10-24, accessed 2026-10-24. https://satohub.ai/resources/openai-codex

Data last refreshed 2026-10-24; this page is rebuilt daily. Citations carry the date so a reader can tell which snapshot a claim came from. Catalog data is licensed CC-BY-4.0.

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