@axichuhai: There is an open-source project on GitHub that aggregates the free quotas of 12 major large model platforms into a single unified entry point. You just drop in your scattered API keys, and you can easily scoop up hundreds of millions of tokens. The usage is also very simple: 1. Clone it locally and open the admin panel. 2. Fill in your keys one by one. 3. Go to Playg…

X AI KOLs Timeline Tools

Summary

This GitHub open-source project integrates free quotas from 12 major large model platforms into a unified entry point. Users only need to fill in their API keys to access multiple models through a single interface, with support for automatic polling and failover.

Github上有個開源項目,把12家主流大模型平台的免費額度打通成一個統一入口 你把零散的API key往裡一填,轉手就能薅幾億token 用法也很簡單: 1、clone到本地,打開管理後台 2、把手頭的key依次填進去 3、去Playground發條測試消息,會直接顯示是哪家模型在答、延遲多少ms 配完之后複製統一的URL和API key,給模型排好優先級 有任務進來會自動按順序輪詢,某家限速了就自動跳下一家,直到把活幹完
Original Article
View Cached Full Text

Cached at: 06/05/26, 07:08 AM

There’s an open-source project on GitHub that unifies free-tier quotas from 12 major LLM platforms into a single entry point.

Just plug in your scattered API keys, and you can harvest billions of tokens for free.

Usage is simple:

  1. Clone it locally, open the admin panel
  2. Fill in your keys one by one
  3. Send a test message in the Playground – it will show which model replied and the latency in ms

Once configured, copy the unified URL and API key, set priority for each model.

When a task arrives, it automatically polls models in order – if one hits rate limits, it jumps to the next until the job is done.

阿西_出海 (@axichuhai):
Found another open-source project that breaks information asymmetry – 58k stars on GitHub, frequently topping the trending page.

It aggregates hot topics from major mainstream media, summarizes them, and pushes them directly to your phone – supports DingTalk, Feishu, email, etc.

Supports translation, so overseas trending topics are covered too.

Just tell it what you want in natural language, no need to browse multiple platforms yourself.

Similar Articles

@geekbb: Nice, nice. Using this project to combine free models from major tech companies and pool their quotas together. Don't underestimate the free quotas from these 16 LLM providers (totaling about 1.7 billion tokens per month). If used well, it can save a lot. I'll find time to tinker with it. https://github.com/ta…

X AI KOLs Timeline

Introduces an open-source project that aggregates free quotas (totaling about 1.7 billion tokens per month) from 16 LLM providers for unified usage, and mentions Google AI Studio's free API tier, aiming to help developers save costs.

@Chenchen0545: OpenCode, the open-source coding agent, has free models built right in — runs without login, and you can connect your own Claude or GPT whenever you want to level up. Over 200k GitHub stars, 16M monthly active developers. Its core promise: no code storage, no context storage. Tools like this used to always be tied to some paid account, but now "built-in free models" bring the barrier to zero.

X AI KOLs Timeline

OpenCode is an open-source coding agent with built-in free models that works without login. It has 200k+ GitHub stars and 16M monthly developers, with a privacy-first approach — and you can plug in models from 75+ providers like Claude or GPT anytime.

@9hills: Anyone who frequently switches models needs a centralized model proxy. I had ChatGPT analyze almost all open-source projects and finally chose OmniRouter, deployed it on my own VPS, and it can access almost all sources (including our own). Now deploying the service is much simpler: just let herme... deploy and maintain itself.

X AI KOLs Timeline

The user recommends OmniRouter as a centralized model proxy that can access multiple model sources, deployed on a VPS and with maintenance simplified via hermes.