# enricoros/big-AGI

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Repository: https://github.com/enricoros/big-AGI
Canonical: https://ross.abutalabs.com/products/big-agi
Homepage: https://big-agi.com
License: MIT
License Family: permissive
Topics: agi, gpt, ai-agents, ai-suite, ai-workspace, anthropic-api, deepseek-api, gemini-api, gpt-5, multi-modal, multi-model, nano-banana, openai-responses-api, perplexity-api, sonnet-4-5, xai-api, librechat, openwebui
Last push: 2026-08-26T22:50:47+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 86, longevity 90
- inputs: {"age_days": 1263, "days_push": 7, "days_rel": 12, "gap_med": 49.5, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7102, forks 1595 (observed 2026-08-28T04:09:55.909622+00:00)

## What it is
Big-AGI is an open-source AI workspace web application that lets users chat with many state-of-the-art LLM providers (OpenAI, Anthropic, Gemini, xAI, local models via Ollama, and more) using their own API keys. It offers advanced features like Beam multi-model parallel chats, AI personas, text-to-image, voice, PDF import, and can be self-hosted via Docker or Vercel.

## Use cases
- chat with multiple LLMs side by side and compare answers
- self-host a private ChatGPT alternative with my own API keys
- run one prompt across several models in parallel to catch hallucinations
- chat with local models through Ollama or LM Studio
- generate images and use voice within an AI chat workspace
- import PDFs and ask questions about them
- avoid vendor lock-in with a multi-provider AI interface
- deploy an AI chat UI for my team on-prem or in the cloud

## When to choose
- you want a polished, self-hosted AI chat workspace with BYO API keys
- you need to compare or fuse responses from multiple models (Beam)
- you want broad provider support including local models like Ollama
- you need extras like personas, voice, image generation, and PDF import in one app

## When to avoid
- you need a headless API or library to embed LLM calls in your own code
- you want a fully managed hosted service without managing keys or deployments
- you need fine-grained multi-user team administration and billing out of the box

## Facets
- artifact type: application
- maturity: active
- function: chatbot, agent-framework, llm-inference, rag, chat-interface, image-processing, speech-recognition, tts, pdf, web-framework
- domain: artificial-intelligence, large-language-models, chatbots, self-hosted, web-development
- platform: self-hosted, cross-platform, cloud
- tags: multi-model, ai-workspace, beam, byo-api-keys, openai, anthropic, gemini, ollama, text-to-image, voice-chat, personas, vercel-deploy, ai-agents, web-server, docker, nodejs

## Member repositories
- enricoros/big-AGI (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.909622+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:40:08.776329+00:00, confidence not recorded.
  - readme: https://github.com/enricoros/big-AGI (fetched 2026-08-28T04:09:55.909622+00:00, sha f810af0f0230)
  - homepage: https://big-agi.com (fetched 2026-08-29T08:36:13.250629+00:00, sha 05e6f4bb3fd4)
  - site_page: https://big-agi.com/docs (fetched 2026-08-29T08:36:13.253421+00:00, sha 4f12a84b9f7f)
  - site_page: https://app.big-agi.com (fetched 2026-08-29T08:36:13.255193+00:00, sha 27a610ff71c8)
- Data as of 2026-08-30T08:39:29.467469+00:00.