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OpenAI Codex CLI logo

OpenAI Codex CLI

AI Agents

Elite Team·Self-reportedVerified Publisher·Pending reviewVerified Adoption·Pending review

Lightweight coding agent that runs in the terminal and helps builders inspect, edit, test, and ship code from a local workspace.

Public links
Visit WebsiteDocumentation

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

OpenAI Agents SDK logo
OpenAI Agents SDK

AI Agents· openai.github.io

Open source

Open-source Python SDK for building, running, tracing, and handoff-driven AI agents with OpenAI models and tools.

Why recommended

Same category

Keep evaluating OpenAI Codex CLI

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh OpenAI Codex CLI against the alternatives

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  • OpenAI Codex CLI vs OpenAI Agents SDKSide-by-side pricing, API surface, and adoption evidence.
  • OpenAI Codex CLI vs VoidSide-by-side pricing, API surface, and adoption evidence.
  • OpenAI Codex CLI vs Cline

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Open source profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

API available with docs/profile signal

View source
Verified

Adoption proof

1 verified adoption signal

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

API signal supports workflow automation.Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

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Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.Wikidata company graphfreeParent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.

Events / Tours

OpenAI Codex CLI developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

Public implementation evidence

Public projects using OpenAI Codex CLI

Judging lockedEvent-linked buildSource: https://luma.com/swarmhackSubmissions are locked for judging after the event close.
Daytona logo
Anonymous builder2 months ago
Popper

**Project description** Popper is an adversarial verification gate for pull requests. We built it after AI coding agents began producing fixes faster than we could confidently review them. A green test was not always proof—it sometimes passed before the fix too. Popper extracts the behavioral claim behind a pull request, generates tests designed to break that claim, and executes each test against both versions of the code: **Fail before + Pass after = Evidence of a fix** Fireworks extracts the claim and generates adversarial tests. Daytona runs them safely in isolated sandboxes. CodeRabbit provides an independent static review, which Popper compares with the executed evidence while keeping opinion and proof clearly separated. Braintrust traces the pipeline, and CopilotKit lets reviewers ask questions about the results. Popper flags tests that pass on both versions as inconclusive and treats sandbox failures as missing evidence—not failed code. It then presents the claim, test results, disagreements, and a recommendation. A human always makes the final merge decision. We built Popper with Next.js and TypeScript, plus a replay system that can instantly load a previously verified run if a live service becomes unavailable.

Built with

Daytona logoDaytonaSecure sandbox infrastructure for running AI-generated code and agent workloads with isolated, stateful environments, fast startup, and SDK control over files, git, and processes.Braintrust logoBraintrustAI observability and evals platform for tracing production systems, running experiments, and catching regressions.CopilotKit logoCopilotKitFrontend stack for embedding agents, generative UI, and AG-UI workflows in applications.OpenAI Agents SDK logoOpenAI Agents SDKOpen-source Python SDK for building, running, tracing, and handoff-driven AI agents with OpenAI models and tools.
0 0 0Open

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

51

Public signals · ★ 126,018

Trust Score

47

observed

Category Rank

#29

AI Agents · public signals

Protocols

API, SDK

Agent-readable metadata

Tracked Developers

1

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub126,018

68% confidence

Protocol support

APISDK
Adoption over time
Last 8 weeks+11,292 GitHub stars in 30d · cohort private · trust 47

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Your developer adoption profile is already visible.

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Developer identities

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Account map

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About OpenAI Codex CLI

Lightweight coding agent that runs in the terminal and helps builders inspect, edit, test, and ship code from a local workspace.

Resources
Official sitewebsite

Primary product or project page

DocumentationDocs

Current public documentation or README

GitHub repositoryGitHub

Source repository verified through GitHub API

GitHub
3 Resources
GitHub Stats

126,018

Stars

19,607

Forks

18,330

Issues

Quick Info
PricingOpen source
Open sourceYes
API availableYes
29,589
4,779
Open source
Why recommended

Same category

Void logo
Void

AI Agents· voideditor.com

Open source

Open-source AI code editor built for local control over model-backed coding workflows.

Why recommended

Highly similar description

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Highly similar description

Cline logo
Cline

AI Agents· cline.bot

Open source

Autonomous coding agent available as an IDE extension, SDK, and CLI for builders who want agentic coding workflows tied to repo context.

Why recommended

Highly similar description

68,806
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Why recommended

Highly similar description

Coder Agents logo
Coder Agents

AI Agents· coder.com

Open source

Self-hosted coding-agent control plane with persistent chats, workspace isolation, sub-agent delegation, and a programmatic Chats API.

Why recommended

Same category

14,908
1,487
Open source
Why recommended

Same category

Side-by-side pricing, API surface, and adoption evidence.
  • OpenAI Codex CLI vs Coder AgentsSide-by-side pricing, API surface, and adoption evidence.
  • Check the adoption evidence

    • AI Agents developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
    • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
    • Best AI Agent FrameworksShortlist guide for this category, with the tradeoffs written out.
    • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.

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    +4

    Agent-readable protocol evidence raises trust and commercial readiness.

    Benchmark proof

    Benchmark proof pending

    Attach latency, cost, accuracy, reliability, or eval evidence to unlock the performance component.

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Attach benchmark evidence

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

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    Next best action

    Claim OpenAI Codex CLI before competitors use this profile as proof.

    Connect usage events, resolve developer identities, and see which accounts are evaluating OpenAI Codex CLI.

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    Resolve developer activity into companies, teams, and enterprise accounts.

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    Retention cohorts

    Track first API call through 7/30/90-day retention and expansion.

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    Competitor overlap

    Find developers evaluating alternatives and switching between tools.

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    Category benchmark

    Compare activation, retention, and growth against your market.

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    Recommended actions

    Prioritized DevRel, product, and sales plays based on live adoption signals.

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