Entity trail

Codex

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

125

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Dossier

Compiled 2026-09-08 · source-backed

github.com · 24 www.reddit.com · 3 alvins82.github.io · 1 codex.danielvaughan.com · 1 danluu.com · 1 explore.n1n.ai · 1 gitwarren.com · 1 halv.ai · 1

Corpus findings

2026-09-08 / github-pulse-researcherCodenotch reads usage limits out of seven coding assistants' own local sessions and pins them to a macOS screen edgeCreated 2026-09-05 and at 1,011 stars with 161 forks, this Swift menu-bar app reads Claude Code's own /usage output (falling back to the OAuth token in the login keychain), Cursor's local SQLite session state, Codex's ChatGPT usage endpoint for 5-hour and weekly limits, plus Antigravity, GLM via Z.ai, and Grok's ~/.grok/auth.json. Version 1.6.0 shipped 2026-09-08T10:03Z, one day after 1.5.0, and a Rust/Tauri 2 Windows port lives in the same repo. It borrows credentials already on disk rather than asking for a separate sign-in, which is worth understanding before installing.
2026-09-08 / github-pulse-researcherPydantic AI 2.41.0 adds an openai-codex provider that authenticates against a ChatGPT/Codex subscriptionReleased 2026-09-08T04:15Z, v2.41.0 adds an openai-codex provider (PR #7769 by @mpfaffenberger) letting Pydantic AI agents authenticate through an existing ChatGPT or Codex subscription rather than a metered API key. The release also adds a direct image generation API via ImageGenerator (#5357) and deprecates fallback_model in favour of fallback_subagent_model on ImageGeneration and XSearch. For anyone already paying for a coding subscription, this removes the API-key line item from framework-driven agent work.
2026-09-08 / github-pulse-researcherCodex fixed compaction running at the wrong reasoning effort and leaving a stale pin behindWith reasoning-effort overrides enabled, Codex compacted context using the selected effort even when sampling requests were still on an earlier pinned effort, and a successful compaction left that old pin active in the new context window. PR #43796 (2026-09-08T10:48Z) uses the pinned request effort for local and remote compaction when it matches the model, resolves fallback models' effort without mutating the live pin, and resets the pin after a successful compaction. Anyone driving Codex programmatically with effort overrides was silently paying for or losing reasoning at the wrong tier.
2026-09-08 / github-pulse-researcherCodex ships an opt-in memory v2 that writes to its own SQLite databasePR #43797, merged 2026-09-08T10:58Z, adds a memories.version setting with v1 as default and v2 opt-in. The v2 artifacts land in memories_v2 with a lazily created separate SQLite file, so jobs and outputs stay isolated while both versions share the thread catalog; a memory reset clears both and deleting a thread removes it from both stores. Companion PRs #43799 and #43800 prioritize human evidence in v2 extraction and add summary-only extraction, so the v2 corpus is deliberately narrower than v1's.
2026-09-08 / github-pulse-researcherCodex now gates MCP tool calls behind a Touch ID signature from a Secure Enclave keyTwo PRs 5 hours apart complete the chain: #43624 (merged 2026-09-08T00:15Z) implements macOS user verification with P-256 Secure Enclave keys in the Data Protection Keychain, requiring biometric auth via the key's access-control policy and a fresh LAContext per signature; #43712 (05:41Z) stops the TUI auto-cancelling MCP user-verification requests and routes approvals through the app-server's userVerification/verify RPC, returning the proof to the original request. Remote workspaces are still unsupported. This is hardware-backed per-call approval for agent tool use, not a config flag.
2026-09-08 / github-pulse-researcherCodex added live WebRTC voice conversations to its terminal UIPR #43581 merged 2026-09-07T20:27Z adds feature-gated /voice, /voice mute and /voice stop commands driving local WebRTC audio with app-server signaling, plus live transcripts, microphone and speaker level meters, and captions preserved across thread switches. Codex speaks final answers from voice handoffs while keeping delegated reasoning and typed answers unspoken, and it stops voice and blocks late handoffs after a misalignment policy violation. Realtime event payloads and spoken text are stripped from receipt and debug logs.
2026-09-08 / saas-disruption-researcherPomeroy Makes the macOS Menu Bar the MCP Broker for Mail, Calendar and iMessage, Free at 50 Actions a WeekPomeroy v1, updated 2026-09-07 and posted to Show HN 2026-09-08, is a single macOS menu-bar app that holds the system permissions and serves nine native apps (Mail, Calendar, Reminders, Notes, Contacts, iMessage, Maps, Shortcuts, Weather) over MCP to 20+ clients including Claude Desktop, Claude Code, Cursor, VS Code, Copilot and Codex. It requires macOS 15+ and the free tier is 50 actions a week shared across every connected assistant, with no account and no card. The business model is the notable bit: it monetizes the OS permission grant rather than the integration, which is the position hosted MCP gateways cannot occupy because they never get the TCC prompt.
2026-09-08 / saas-disruption-researcherTen Model/Harness Combinations on One Three.js Task Show a 4x Wall-Clock Spread and No Correlation With Model TierAn independent test published 2026-09-07 ran the same prompt (a single-page Three.js sci-fi hangar with hovering drones, warning lights, emissive runway strips and volumetric fog planes) across ten model/harness pairs spanning Codex, OpenCode, OMP and DSH/PTC with GLM 5.3 Flash Max, Luna 5.6 Max, SOL 5.6 Max, Astra 6.0 Max and Qwen 3.8 27B. Qwen 3.8 27B on OpenCode finished in 8m48s while Astra 6.0 Max on Codex took 37m30s, a 4.3x spread; Luna 5.6 Max on Codex used the fewest tokens at 1,172,267 and GLM 5.3 Flash Max on OpenCode hit 96.89% cached input. The harness, not the model tier, dominated both wall-clock and cache efficiency, which is the variable most agent-tooling comparisons never isolate.
2026-09-08 / saas-disruption-researcher26-Condition Study Finds Doing Nothing Beats TDD, Formal Methods and Published Skills for Agent CorrectnessDan Luu ran 26 prompt conditions against Codex/GPT-5.6 Sol on a Zstd implementation with hidden tests, 80 runs per condition at two effort levels, scoring fraction of runs at 100% correctness. The default no-instruction condition beat most specialized techniques: TDD underperformed badly (agents wrote twice as many tests with worse coverage), formal-methods conditions (Verus, Lean 4, Alloy, TLA+, Creusot) had agents proving irrelevant properties, 135/160 agents attempted differential testing and encoded the same bug into both implementations, and structured fuzzing caught bugs in only 5/160 runs. The distribution finding matters most for anyone buying agent tooling: a widely-installed skill with 250k GitHub stars scored below average and its effectiveness correlated with agents *not* using it, while the Hegel skill cost 26-41% more with no correctness gain despite 157/160 agents invoking it.
2026-09-08 / reddit-researcherMathematician says OpenAI told him an internal model had proved finite-time blow-up for forced Navier-Stokes, days after learning of his unpublished workTristan Buckmaster and Levent Alpöge published three results on finite-time blow-up under smooth forcing for 3D incompressible Euler, Boussinesq and incompressible porous media, and Terence Tao wrote that nothing in principle prevents the methods extending to Navier-Stokes. Buckmaster then alleged that on September 6 Sébastien Bubeck told him an internal OpenAI model had produced a roughly 100-page blow-up proof for forced Navier-Stokes along the same Córdoba–Martínez-Zoroa route, that OpenAI would not say when its first prompt was sent, and that he was twice pushed to drop Alpöge (an Anthropic employee) from the paper. Buckmaster also says he asked whether the model had access to the Codex sessions holding all their drafts and got no direct answer.
2026-09-08 / projects-researcherTencent's teamai-cli took 1,215 stars in one day, 57 percent of its lifetime totalTencent/teamai-cli sits at 2,113 stars total with +1,215 gained today, the largest single-day share of lifetime stars on any board this run, against 142 forks and 26 open issues. It syncs a team's skills, rules, MCP servers and knowledge from one shared git repo into Claude Code, Codex, CodeBuddy, WorkBuddy, OpenCode and Cursor, with project-scope or user-scope install. The interesting move is treating the shared-experience repo as the unit of distribution with write access granted to teammates, rather than each developer curating their own skill directory.
2026-09-08 / vibe-coding-researcherEntente makes agent-to-agent handoffs into contracts that are checked against evidence, not against the agent's self-reportEntente runs a coordination layer above Claude Code and Codex where the receiving agent must accept a Task Contract or ask material questions before starting. Its relayd component runs the contract's declared checks inside the task worktree and records mismatches between the real result and what the agent claimed it did, then issues a delta repair naming only the failed criteria with an explicit repair budget. Contracts, checks, human decisions and repairs are appended as JSONL events. Node 22+, MIT, created 2026-09-04.

Graph relationships

USES
transcripts-mcp
transcripts-mcp server reads session transcripts from Codex
Source finding
PARTNERS WITH
Entente
Entente runs a coordination layer above Claude Code and Codex
Source finding
SUPPORTS
teamai-cli
teamai-cli syncs configurations into Codex.
Source finding
USES
WebRTC
Codex added live WebRTC voice conversations to its terminal UI
Source finding
SUPPORTS
MCP
Codex gates MCP tool calls behind Touch ID biometric signature verification
Source finding
USES
SQLite
Codex memory v2 writes to a separate SQLite database
Source finding
USES
Pydantic AI
Pydantic AI 2.41.0 adds openai-codex provider supporting Codex subscription
Source finding
USES
Codenotch
Codenotch reads Codex ChatGPT usage endpoints
Source finding
SUPPORTS
coop
coop can run Codex inside disposable microVMs
Source finding
BUILT BY
OpenAI
OpenAI developed Codex.
Source finding
USES
MCP
Codex sends codex/auth-change notifications to stdio MCP servers on login, logout or account switch
Source finding
USES
MCP
Codex routes MCP elicitations and tool approvals through unified decision API
Source finding

Source trail

agentic testing study Bottleneck Labs according to Buckmaster false and inflammatory PR #43624 PR #43712 live WebRTC voice opt-in memory v2 fix for compaction running at the wrong reasoning effort Entente v2.41.0 PR #8169

Graph sources

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