head to head · open source

AnythingLLM vs chatgpt_telegram_bot

AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. chatgpt_telegram_bot has 5,551 stars, 1,907 forks, 56 open issues and last shipped 5 months ago. AnythingLLM leads on adoption by 1,123% (67,862 vs 5,551 stars). AnythingLLM is written in JavaScript under MIT; chatgpt_telegram_bot is written in Python under MIT. AnythingLLM has attracted 11% as many forks as stars, chatgpt_telegram_bot 34%. AnythingLLM was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

AnythingLLM ★ 68K chatgpt_telegram_bot ★ 5.6K category AI & Machine Learning

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Side by side

AnythingLLM chatgpt_telegram_bot
GitHub stars ★ 68K ★ 5.6K
License MIT MIT
Written in JavaScript Python
Last push 2026-10-30 2026-06-14
Forks ⑂ 7.7K ⑂ 1.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick AnythingLLM if

  • You weight community size — 68K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full AnythingLLM profile →

pick chatgpt_telegram_bot if

  • You want the chatgpt_telegram_bot feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and chatgpt_telegram_bot fits your workflow better

full chatgpt_telegram_bot profile →

About AnythingLLM

[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…

read the full AnythingLLM overview →

About chatgpt_telegram_bot

🤖 ChatGPT Telegram Bot ChatGPT, re created as a Telegram bot — and it works great. GPT 5.5 · Anthropic Claude (Opus / Sonnet / Haiku) · Vision · Voice · Image generation Fast replies, no daily limits, message streaming and 15 special chat modes. Web chatbots are great — but they're often laggy, rate limited, and locked behind a browser tab. This project puts the best models from OpenAI and Anthropic right inside Telegram , with your own API keys and no daily limits. 🚀 Try the live bot: @jadvebot · 🌐 Web: jadve.com — or deploy your own in two commands (Quick start ↓). ✨ Features ⚡ Low latency — replies usually…

read the full chatgpt_telegram_bot overview →

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Frequently asked questions

Is AnythingLLM or chatgpt_telegram_bot more popular?

AnythingLLM has 67,862 GitHub stars and chatgpt_telegram_bot has 5,551. AnythingLLM has the larger community by that measure.

Are AnythingLLM and chatgpt_telegram_bot free?

Both are open source. AnythingLLM is licensed under MIT and chatgpt_telegram_bot under MIT. Neither carries a licence fee.

What is the difference between AnythingLLM and chatgpt_telegram_bot?

AnythingLLM is written in JavaScript and chatgpt_telegram_bot in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AnythingLLM or chatgpt_telegram_bot?

Choose AnythingLLM if you want the larger community (67,862 stars) or its MIT licence terms. Choose chatgpt_telegram_bot if its feature set, stack or MIT licence fits better. Both are self-hostable.