tbxark/chatgpt-telegram-workers

Easily deploy your Telegram ChatGPT bot on Cloudflare Workers (or Vercel, Docker...).

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Summary Information

Updated 49 minutes ago
Added to GitGenius on September 18th, 2026
Created on March 3rd, 2023
Open Issues & Pull Requests: 15 (+0)
GitHub issues: Enabled
Number of forks: 890
Total Stargazers: 3,806 (+0)
Total Subscribers: 25 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 22.6 hours
Mean response time: 14.6 days
90th percentile: 32.2 days
Tracked items: 33

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Issue Activity (beta)

Open issues: 13
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 621 days
Stale 30+ days: 13
Stale 90+ days: 13

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (11)
  • enhancement (2)
  • discussion (1)
  • help wanted (1)

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Detailed Description

chatgpt-telegram-workers is a serverless bot framework that deploys a Telegram ChatGPT integration on Cloudflare Workers, Vercel, Docker, or other platforms.

The project solves the problem of running a Telegram bot powered by ChatGPT without maintaining dedicated server infrastructure. It handles the integration between Telegram's bot API and ChatGPT, allowing messages received in Telegram to be processed by ChatGPT and responses sent back to users. The approach abstracts away deployment complexity by supporting multiple serverless and containerized hosting options, letting developers choose their preferred platform.

Developers should choose this tool if they want to quickly launch a Telegram bot with ChatGPT capabilities without managing servers. It suits projects ranging from personal bots to small-scale deployments where serverless execution is cost-effective. The framework's multi-platform support means you can start on Cloudflare Workers for minimal overhead or move to Vercel, Docker, or other environments as needs change, without rewriting the bot logic.

The project shows active maintenance with regular commits addressing bugs and feature requests. Pull requests receive timely review and integration. The codebase demonstrates responsiveness to user issues, with problems reported in discussions typically receiving attention and resolution. Development activity indicates the maintainers are engaged in keeping the tool functional across its supported platforms and responsive to the needs of users deploying bots.