Analysis updated 2026-08-16 · repo last pushed 2026-08-02
Use a cheaper local model for routine code generation and switch to a premium reasoning model only for complex architecture decisions.
Route multiple ChatGPT or Codex accounts through one proxy so sessions automatically go to the least-used healthy account.
Use DeepSeek or Grok inside Claude Code without waiting for official provider support.
Run a locally hosted model through Ollama inside OpenAI's Codex CLI for fully private coding assistance.
| nicosuave/opencodex | 000madz000/rfid-attendance | 00kaku/gallery-slider-block | |
|---|---|---|---|
| Language | — | TypeScript | JavaScript |
| Last pushed | 2026-08-02 | 2024-07-22 | 2021-05-19 |
| Maintenance | Active | Dormant | Dormant |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Node 18+ and API keys or OAuth login for each AI provider you want to use.
opencodex lets you use any AI model you want, Claude, Gemini, DeepSeek, Grok, or even a locally hosted model through Ollama, inside developer tools that normally lock you into one provider. It works with OpenAI's Codex CLI and app, Claude Code, Claude Desktop, and Grok Build. Instead of waiting for those tools to officially support your preferred model, you just point them at this proxy and pick whatever model fits your task. At its core, opencodex sits between your coding tool and the AI provider, translating requests so they speak the right language to whichever model you've chosen. You install it, run a quick setup command, and a local dashboard opens where you add your providers and API keys (or log in via OAuth for some). Once configured, your chosen models show up directly in the model pickers of Codex, Claude Code, and the other supported tools as if they were native options. You select a model using a simple "provider/model-name" syntax, and everything else, streaming, tool calls, reasoning, images, works normally in both directions. This is useful for developers or teams who want flexibility and cost control. For example, you might use an expensive reasoning model for complex architecture decisions but switch to a cheaper, faster model for routine code generation. You can even set up subagent delegation, where one model handles a task and hands a subtask to a different model. The project also includes account pooling for ChatGPT/Codex accounts, if you have multiple accounts, it tracks their usage quotas and automatically routes new sessions to the least-used healthy account, while keeping ongoing conversations pinned to the account that started them so nothing breaks mid-task. The project runs natively on macOS, Linux, and Windows with no complex container setup, requiring only Node 18 or higher. It supports 40+ built-in providers out of the box and is notably designed to be "history-safe", it injects itself into Codex without remapping your existing chat history, so an unclean shutdown won't scramble your past conversations. The README doesn't go into deep detail on every edge case, but the breadth of supported tools and providers is extensive.
opencodex is a local proxy that lets you use any AI model, Claude, Gemini, DeepSeek, Grok, or local Ollama models, inside coding tools like Codex CLI, Claude Code, and Grok Build that normally lock you into one provider.
Active — commit in last 30 days (last push 2026-08-02).
The README does not include license information for this project.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.