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Open-source operating system for OpenAI Codex workflows: agents, skills, hooks, rules, memory, safety gates, and cross-harness adapters. - mturac/everything-openai-codexEOC turns raw OpenAI Codex into a maintained engineering environment: 60 agents, 230 skills, 110 rules, hook gates, session memory, and adapters for Cursor, OpenCode, Gemini, Zed, Copilot, and Trae. Not a prompt dump — a field-tested workflow system. MIT.
Hey Hunters,
I'm Mehmet Turac, the maker. I built EOC because every serious
OpenAI Codex project I worked on kept re-discovering the same
gaps: no session memory, no quality gates, no reusable skills,
no cross-tool portability. Every team was rebuilding the same
operating layer from scratch.
EOC packages that layer once, properly:
- 60 specialized agents (planner, code-reviewer, security-reviewer,
language-specific reviewers for TS/Python/Go/Java/Kotlin/Rust/C++/Perl)
- 230 skills covering backend, frontend, security, ML, docs, ops,
release work, content, and investor materials
- 110 rules across 12 language ecosystems
- Hook gates (no-verify blocks, supply-chain scanners, MCP health checks)
- Session memory + compaction + handoff-friendly logs
- Cross-harness adapters for Cursor, OpenCode, Gemini, Zed, Copilot,
Trae, and Codex app + CLI
v2.0.0-rc.1 ships with a desktop dashboard (Tkinter), the Hermes
operator workflow, and an EOC 2.0 Rust control-plane alpha.
MIT licensed. Field-tested on daily software work, not a
prompt collection.
Would love to hear from anyone running Codex at scale — what
breaks first in your setup? That's usually where EOC's next
skill comes from.
GitHub: github.com/mturac/everything-openai-codex
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About Everything OpenAI Codex on Product Hunt
“An open-source workflow OS for OpenAI Codex. ”
Everything OpenAI Codex was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #80 on the daily leaderboard. Open-source operating system for OpenAI Codex workflows: agents, skills, hooks, rules, memory, safety gates, and cross-harness adapters. - mturac/everything-openai-codexEOC turns raw OpenAI Codex into a maintained engineering environment: 60 agents, 230 skills, 110 rules, hook gates, session memory, and adapters for Cursor, OpenCode, Gemini, Zed, Copilot, and Trae. Not a prompt dump — a field-tested workflow system. MIT.
Everything OpenAI Codex was featured in Productivity (652.3k followers), Open Source (68.4k followers), Artificial Intelligence (469.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 263.2k products, making this a competitive space to launch in.
Who hunted Everything OpenAI Codex?
Everything OpenAI Codex was hunted by Mehmet TURAÇ. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Mehmet TURAÇ