Key Takeaways
- Big-AGI (big-agi.com, source at github.com/enricoros/big-AGI) is a free, MIT-licensed chat interface with 7,100+ GitHub stars, built by independent maintainer Enrico Ros.
- Its signature feature is Beam: send one prompt to multiple models simultaneously and compare or merge the answers side by side.
- It connects to 20+ model providers -- OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, Mistral, DeepSeek, and more -- plus any OpenAI-compatible endpoint, including local Ollama or LM Studio servers.
- Other built-in features include Personas, real-time voice calls, web search with citations, image generation, and PDF import.
- Self-hosting is free forever under the plain MIT license; a hosted version at big-agi.com offers a free tier plus an optional Pro plan at $9/month, billed annually.
π In One Sentence
Big-AGI is a free, open-source, MIT-licensed chat interface that connects to 20+ model providers and lets you query multiple models on the same prompt at once with a comparison feature called Beam.
π¬ In Plain Terms
Big-AGI doesn't run AI models itself -- it's a chat window, similar to ChatGPT's website, that you either self-host for free or use at big-agi.com, and its standout trick is putting several models' answers to the same question side by side instead of making you switch tabs to compare them.
πNote: This review is the deep-dive companion to Big-AGI's entry in the Local LLM Software Directory -- see that page for how Big-AGI compares at a glance to dozens of other local AI tools.
Quick Facts: Big-AGI
- License: Plain MIT -- fully open source, free to self-host, modify, and redistribute, with no separate commercial license required
- Platforms: Self-hosted web app (Docker, Vercel) or hosted at big-agi.com; works in any browser
- Website: big-agi.com
- GitHub: github.com/enricoros/big-AGI -- 7,100+ stars as of September 2026
- Maintainer: Enrico Ros, an independent open-source developer
- Cost: Free to self-host; hosted free tier plus Pro at $9/month, billed annually ($108/year)
- Core function: Chat interface for 20+ model providers with a built-in multi-model comparison feature (Beam)
What Is Big-AGI?
Big-AGI is a free, open-source chat interface you either self-host or use through a hosted version, giving you one window to talk to any of 20+ connected model providers. You deploy it as a Docker container on your own server, use the one-click Vercel deploy button, or skip setup entirely and use the free hosted version at big-agi.com.
It does not train or run models on its own. Instead, it is a front end that talks to whichever provider you add an API key for -- OpenAI, Anthropic, Google Gemini, AWS Bedrock, and more -- or to a self-hosted backend such as Ollama or LM Studio via a custom OpenAI-compatible endpoint.
What sets Big-AGI apart from a standard chat window is Beam: a feature that sends one prompt to multiple selected models at once and displays every answer side by side, with an option to merge or synthesize them into a single response. On top of that, it adds Persona presets, real-time voice calls, web search with citations, image generation, PDF import, and an Inspector view that shows the raw request sent to each model.
History and Development
Big-AGI is maintained by Enrico Ros, an independent open-source developer rather than a company, and its public GitHub history shows continuous development, growing from a chat client into what the project now describes as a "multi-model AI workspace."
Recent development has focused on expanding Beam, adding more model providers (20+ as of September 2026, covering OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, Mistral, DeepSeek, Groq, OpenRouter, and others), and building out voice, image, and web-search capabilities alongside the underlying multi-provider chat core.
A significant point for anyone evaluating Big-AGI commercially is the license. Unlike some competing self-hosted chat interfaces that use an Apache-2.0 variant with an added commercial-distribution clause, Big-AGI ships under the plain MIT license -- you can self-host, modify, and redistribute it, including commercially, without contacting the maintainer for a separate license.
What Can You Actually Do With Big-AGI?
- Chat with 20+ model providers or a local model. Add an API key for OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, Mistral, DeepSeek, Groq, OpenRouter, and more, or point Big-AGI at a local Ollama or LM Studio server.
- Compare multiple models at once with Beam. Send one prompt to several selected models simultaneously, view every answer side by side, and optionally merge them into a single synthesized response.
- Use Personas for repeat tasks. Save a pre-configured system prompt for coding, writing, or research instead of retyping instructions each time.
- Make real-time voice calls. Talk to a connected model with live voice input and text-to-speech output, depending on the model's capabilities.
- Search the web with citations. Ground answers in current web results with linked sources, instead of relying on a model's training data alone.
- Generate images and import PDFs. Create or edit images with a supported provider, and attach PDF documents to a conversation.
- Inspect requests. The Inspector view shows the raw request sent to the model, useful for debugging prompts or understanding token usage.
Get Started: Self-Host or Use Big-AGI
Big-AGI is not a per-OS downloadable desktop app -- it is either a self-hosted web application or a hosted service. Here are the official ways to run it, from the GitHub repository:
- 1. Fastest: use the free hosted version. Go to big-agi.com, sign in, and add your own API keys -- no server setup needed. A Pro plan is available if you want cloud sync.
- 2. Recommended self-host option: run it with Docker. `docker run -d -p 3000:3000 ghcr.io/enricoros/big-agi:latest` -- then open `http://localhost:3000`.
- 3. Or deploy with one click to Vercel. The official GitHub repository links a Vercel deploy button that clones the repo and deploys it to your own Vercel account.
- 4. Add API keys in Settings. Open the Models settings panel inside the app and enter API keys for whichever providers you want -- no environment variables are required at container startup, unlike some competing self-hosted chat interfaces.
- 5. Point it at a local model instead of a cloud API. Add a custom OpenAI-compatible endpoint pointing to your local Ollama or LM Studio server address.
- Full documentation, deployment guides, and the current provider list are maintained in the GitHub repository and at big-agi.com.
Pricing: Free Self-Hosted, Optional Pro Plan
Big-AGI is free and open source at its core. The hosted version at big-agi.com adds an optional paid tier on top for people who want cloud sync without self-hosting.
- Free (self-hosted): The full MIT-licensed source -- chat, Beam, Personas, voice, web search, image generation -- is free to run yourself, with zero usage fee from Big-AGI itself. You provide your own API keys or local backend, which you pay for (or run) separately.
- Free (hosted, big-agi.com): A free tier at the official hosted site, including advanced multi-model chat, Personas, and the standard UI, using your own API keys, with no self-hosting required.
- Pro: $9/month, billed annually ($108/year) as of September 2026. Adds cloud backup of personas and chats, multi-device sync, email support from the maintainer, and priority access to new features.
- Business: A custom plan for organizations that need team management, custom deployments, or an SLA -- pricing is not published and requires contacting the team through the official site.
- No evidence of an affiliate or referral program for Big-AGI Pro as of September 2026.
Big-AGI vs LobeChat vs Open WebUI vs LibreChat: Which One?
All four are chat interfaces for models you connect yourself, but each was built around a different center of gravity.
Tool | Best for | Self-hosted | Multi-model compare | License |
|---|---|---|---|---|
| Big-AGI | Comparing several models on one prompt (Beam) | Yes (Docker/Vercel) or hosted | Yes (Beam) | MIT |
| LobeChat | Polished UI, agent builder, plugin marketplace | Yes (Docker/Vercel/Zeabur) | No | LobeHub Community (Apache-based) |
| Open WebUI | Multi-user front end tightly tied to Ollama | Yes (Docker/pip) | No | Open WebUI License (BSD-derived) |
| LibreChat | Managing many cloud provider API keys in one UI | Yes (Docker) | No | MIT |
For a wider five-way look including NextChat, Page Assist, and Chatbox, see LobeChat vs Big-AGI vs NextChat vs Page Assist vs Chatbox. For the full catalog, see the Local LLM Software Directory.
Who Should Use Big-AGI?
Big-AGI fits people who regularly compare model outputs and want a plain-MIT-licensed interface, either self-hosted or hosted.
- β You want to compare answers from multiple models on the same prompt without switching tabs -- Beam is built for exactly this.
- β You want a plain MIT-licensed interface with no added commercial-distribution clause to worry about.
- β You want to self-host with your own API keys, or skip setup entirely with the free hosted version at big-agi.com.
- β You want voice calls, image generation, and web search with citations built into one client.
- β You want a plugin marketplace or agent builder as the primary feature -- see LobeChat instead.
- If unsure: try the free hosted version at big-agi.com with one API key before deciding whether to self-host.
When Should You NOT Use Big-AGI?
Beam and its broad provider support are Big-AGI's main strengths, but a few gaps are worth knowing before committing.
- If you want a plugin marketplace or an agent builder as the primary feature: LobeChat's plugin ecosystem and agent/persona builder are more developed.
- If you need a dedicated document knowledge base (RAG): Big-AGI supports PDF import and attachments in a conversation, but it does not ship a dedicated document knowledge-base feature the way some competing chat interfaces do.
- If you expect it to run models on its own: it has no built-in inference engine -- you must connect API keys or a local server such as Ollama.
- If you plan to expose a self-hosted instance to the public internet without hardening it: like any self-hosted web app, it needs a reverse proxy, TLS, and up-to-date patches before deploying to production.
- If you need enterprise SSO or team administration: that is only available through the custom Business plan, which requires contacting the maintainer directly -- there is no self-serve enterprise tier.
Competitors and Alternatives
Big-AGI sits in a segment of self-hosted, multi-provider chat interfaces. Here is how it compares to the closest alternatives in that same category -- see the Local LLM Software Directory for the full catalog, including Big-AGI's own directory entry.
- LobeChat -- a self-hosted, multi-provider chat interface with a more developed plugin marketplace and agent builder, but licensed under the LobeHub Community License rather than plain MIT.
- Open WebUI -- a self-hosted, multi-user chat interface most tightly integrated with Ollama and local-first workflows, without a built-in multi-model compare feature.
- LibreChat -- an MIT-licensed self-hosted interface that leans toward managing many cloud provider API keys behind one shared UI.
- Cherry Studio -- a single-user desktop client rather than a self-hosted server, for people who want zero server setup.
Common Mistakes With Big-AGI
- Assuming Big-AGI runs models on its own. It is an interface layer -- it needs an API key for a connected provider or a local backend such as Ollama.
- Confusing free self-hosting with the hosted free tier. Self-hosting has zero usage fee from Big-AGI itself, but you still pay each model provider directly for API usage; the hosted free tier at big-agi.com runs under Big-AGI's own hosting terms.
- Not checking current Pro pricing before budgeting. The Pro plan is billed annually at $108/year (equivalent to $9/month) as of September 2026 -- confirm the current figure and billing cycle at big-agi.com/pricing before committing.
- Exposing a self-hosted Docker deployment to the internet without a reverse proxy or authentication. Treat it like any other self-hosted web app and add TLS and access controls before making it reachable outside your own network.
- Treating the "20+ providers" and "800+ models" figures as the same number. The provider count refers to distinct services (OpenAI, Anthropic, Google Gemini, and so on); the model count refers to individual models available across those providers combined.
Frequently Asked Questions
What is Big-AGI?
Big-AGI is a free, open-source, MIT-licensed chat interface built by independent maintainer Enrico Ros. It connects to 20+ model providers, including local models via Ollama or LM Studio, and its signature feature, Beam, lets you query several models on the same prompt at once and compare the answers side by side.
Is Big-AGI free?
Yes. Self-hosting Big-AGI via Docker or Vercel is free under the MIT license, with no usage fee from Big-AGI itself -- you pay only for the model provider API keys you connect. A hosted version at big-agi.com also has a free tier, plus an optional Pro plan for cloud sync.
Is Big-AGI open source?
Yes. Big-AGI is licensed under the plain MIT license, with source code public at github.com/enricoros/big-AGI. Unlike some competitors, it has no separate commercial-distribution clause.
What is Beam in Big-AGI?
Beam is Big-AGI's multi-model comparison feature. It sends the same prompt to several connected models at once and displays the answers side by side, with an option to merge or synthesize them, so you can see how different models respond without switching tabs.
Can Big-AGI connect to local models like Ollama?
Yes. Big-AGI does not run models itself -- add a custom OpenAI-compatible endpoint pointing to a local Ollama or LM Studio server, and it appears in the model picker alongside any cloud providers you have configured.
Does Big-AGI have RAG (chat with documents)?
Big-AGI supports PDF import and file attachments in conversations, but it does not ship a dedicated document knowledge-base/RAG feature the way some competing chat interfaces do.
What is Big-AGI Pro and how much does it cost?
Big-AGI Pro is an optional subscription for the hosted version at big-agi.com, priced at $9/month billed annually ($108/year) as of September 2026. It adds cloud backup of personas and chats, multi-device sync, email support, and priority access to new features -- it is not required to use Big-AGI, self-hosted or hosted.
How is Big-AGI different from LobeChat or Open WebUI?
All three are self-hosted, open-source chat interfaces, but Big-AGI's standout feature is Beam, comparing multiple models on one prompt simultaneously. LobeChat emphasizes a polished UI with an agent builder and plugin marketplace, and Open WebUI is the most tightly integrated with Ollama and local-first workflows.
Who maintains Big-AGI?
Big-AGI is maintained by Enrico Ros, an independent open-source developer, not a company. It is not affiliated with LobeChat, Open WebUI, or any other chat-interface project.
Is Big-AGI safe to expose to the internet?
Like any self-hosted web app, a Docker deployment needs a reverse proxy, TLS, and authentication hardening before being exposed publicly. Using the hosted version at big-agi.com avoids managing that yourself.
Sources
- Big-AGI official site -- big-agi.com
- Big-AGI source code, license, and documentation -- github.com/enricoros/big-AGI
- Big-AGI pricing -- big-agi.com/pricing