Open frameworkJev QuadrantLive map

AI coding agents / entity

OpenAI Codex

OpenAI’s coding agent, available through GitHub Agent HQ and ACP-compatible editors.

https://github.blog/news-insights/company-news/pick-your-agent-use-claude-and-codex-on-agent-hq/

Proven Execution

0.277

Validated Direction

0.313

Uncertainty X

0.327

Uncertainty Y

0.342

Evidence mass

1.050

Region

OPERATIONAL

Quadrant distribution

Jev `choice` — not a hard 0.5 cut. Confidence 0.35.

  • Forming23.0%
  • Operational51.0%
  • Anchored5.0%
  • Directed21.0%

Evidence ledger

Recency half-life 180 days. Weight = 2^(-age/180).

  1. announcement · published 2026-02-04 · w=0.408

    OpenAI Codex on GitHub Agent HQ

    GitHub and OpenAI announced Codex as a coding agent in public preview on GitHub and VS Code for Copilot Pro+ and Enterprise, with issue assignment and draft pull requests, without an extra subscription beyond Copilot.

  2. independent · published 2026-06-02 · w=0.642

    Devin Desktop supports Codex via ACP

    Cognition’s Devin Desktop launch post states that at launch the IDE supports Codex, Claude Agent, OpenCode, and other Agent Client Protocol agents in the same Kanban command center.

Reproducibility

resolved model: jev-1.13.0
requested model: jev-latest
request id: req_01a0d5de7f75724cb929b1ea2bf25311
timestamp: 2026-09-25T00:02:01.331Z
request hash: 4396a88d1d3a9cc7c62df86df6ee063069986c0685eb7d36a31a569802b60383
Download request JSON
{
  "model": "jev-latest",
  "state": {
    "goal": "Score this entity on the Jev Quadrant rubric using only the supplied evidence.",
    "framework": "jev-quadrant-v1",
    "topic": {
      "id": "ai-coding-agents",
      "title": "AI coding agents",
      "x_axis": "Proven Execution",
      "y_axis": "Validated Direction"
    },
    "entity": {
      "id": "openai-codex",
      "name": "OpenAI Codex",
      "website": "https://github.blog/news-insights/company-news/pick-your-agent-use-claude-and-codex-on-agent-hq/",
      "description": "OpenAI’s coding agent, available through GitHub Agent HQ and ACP-compatible editors."
    },
    "evidence": [
      {
        "id": "codex-agent-hq",
        "kind": "announcement",
        "url": "https://github.blog/news-insights/company-news/pick-your-agent-use-claude-and-codex-on-agent-hq/",
        "date": "2026-02-04",
        "date_kind": "published",
        "recency_weight": 0.4077,
        "summary": "GitHub and OpenAI announced Codex as a coding agent in public preview on GitHub and VS Code for Copilot Pro+ and Enterprise, with issue assignment and draft pull requests, without an extra subscription beyond Copilot.",
        "title": "OpenAI Codex on GitHub Agent HQ"
      },
      {
        "id": "codex-in-devin",
        "kind": "independent",
        "url": "https://devin.ai/blog/windsurf-is-now-devin-desktop",
        "date": "2026-06-02",
        "date_kind": "published",
        "recency_weight": 0.6422,
        "summary": "Cognition’s Devin Desktop launch post states that at launch the IDE supports Codex, Claude Agent, OpenCode, and other Agent Client Protocol agents in the same Kanban command center.",
        "title": "Devin Desktop supports Codex via ACP"
      }
    ],
    "claims": [],
    "independent_checks": [],
    "recency": {
      "half_life_days": 180,
      "as_of": "2026-09-25",
      "mass": 1.0499
    }
  },
  "questions": {
    "exec_shipped": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Has this entity shipped a generally available product used by third parties?",
      "criteria": {
        "true": "Independent public evidence shows a generally available product used by third parties.",
        "false": "The product is announced, preview-only, or evidenced only by unsourced vendor marketing with no third-party use."
      }
    },
    "exec_adoption": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there credible adoption evidence?",
      "criteria": {
        "true": "Credible adoption evidence exists: named customers, published user or download counts, case studies, or equivalent.",
        "false": "Adoption claims are absent, purely anecdotal, or unsourced."
      }
    },
    "exec_reliability": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of reliability, quality, security/compliance, or operational maturity?",
      "criteria": {
        "true": "Evidence of reliability, quality, security/compliance, or operational maturity (uptime, incidents handled, certifications, long-running open-source project).",
        "false": "No reliability or quality evidence is present."
      }
    },
    "exec_cadence": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of continued delivery after launch?",
      "criteria": {
        "true": "Evidence of continued delivery after launch (dated releases, changelog, subsequent features).",
        "false": "Delivery appears one-shot or stalled."
      }
    },
    "dir_strategy": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there a specific, consistent, dated public strategy or roadmap?",
      "criteria": {
        "true": "A public strategy or roadmap is specific, consistent, and dated.",
        "false": "Direction is vague, contradictory, or only implied."
      }
    },
    "dir_backed": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Are strategy or roadmap claims backed by shipped artifacts in the evidence pack?",
      "criteria": {
        "true": "Roadmap or strategy claims are backed by shipped artifacts in the evidence pack.",
        "false": "Direction is promised without corresponding delivery evidence."
      }
    },
    "dir_distinct": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is the evidenced direction distinct from generic category copy?",
      "criteria": {
        "true": "The evidenced direction is distinct from generic category copy.",
        "false": "Positioning is interchangeable with peers."
      }
    },
    "dir_invested": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of sustained investment in this product?",
      "criteria": {
        "true": "Evidence of sustained investment (funding used for the product, research, open-source velocity, or platform expansion).",
        "false": "No evidence of continued investment."
      }
    },
    "quadrant": {
      "type": "choice",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Assign the entity to one Jev Quadrant cell. Do not use a hard 0.5 cut. Weigh the full evidence pack.",
      "criteria": {
        "ANCHORED": "Both delivery (proven execution) and evidenced direction (validated direction) are strong.",
        "DIRECTED": "Validated direction is better evidenced than proven execution.",
        "OPERATIONAL": "Proven execution is better evidenced than validated direction.",
        "FORMING": "Both axes are thin, early, or contradicted."
      }
    }
  }
}

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