AI Chat
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WeChat chatbot with DeepSeek-powered replies and roleplay personas.
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View guide →big-AGI — a multi-model AI suite with Beam multi-model chats, personas, text-to-image, voice and PDF import.
big-AGI is an open-source ai chat project by enricoros (enricoros/big-AGI on GitHub). It has 7,139 GitHub stars and 1,593 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.
Gather the API keys for the model vendors you actually use — configuration requires your keys, and Big-AGI does not charge for model usage itself.
Clone enricoros/big-AGI from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Self-host by developing locally or with Docker following the installation guide, or fork and deploy on Vercel with the documented environment variables.
Add one vendor key, start a chat with a persona, then run the same prompt through Beam to compare models side by side.
Beam runs multi-model, multi-modal chats with follow-ups and saveable presets, so you can compare and combine models in one thread.
Supports state-of-the-art models across OpenAI, Anthropic, Gemini, DeepSeek, xAI, Perplexity and more, configured with your own API keys.
AI personas and developer presets shape behaviour per task, alongside AGI-style functions.
Image generation and editing, multi-vendor speech synthesis and transcription, and response streaming built in.
PDF import, code highlighting and execution, and web search with citations for supported models.
Run the MIT open-source version on your own infrastructure, or use the hosted service (with an optional paid Pro sync tier).
Get the source from the official GitHub repository for big-AGI.
git clone https://github.com/enricoros/big-AGI.git
cd big-AGIClone the repository to develop locally or self-host, following the installation guide linked from the README.
git clone https://github.com/enricoros/big-AGI.git
cd big-AGI # then follow docs/installation.md — see READMESet your vendor API keys (for Vercel deploys, via environment variables such as OPENAI_API_KEY), start the app, and open it in your browser.
# Add your API keys per docs/environment-variables.md, then start the app — see READMEenricoros, through the enricoros/big-AGI repository, with the hosted service at big-agi.com.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
Yes — Big-AGI is a front end: you supply API keys for the model vendors you use and pay them directly; the open-source app itself is free under MIT.
A vendor app locks you to one model family. big-AGI is vendor-neutral — many models, Beam comparison chats, personas and media tools in one self-hostable suite — in exchange for managing your own keys and deployment.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — add one vendor key, start a chat with a persona, then run the same prompt through Beam to compare models side by side.
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