AnythingLLM vs big-AGI
Two of the top chat uis, side by side: score, setup, license, activity and what each review found.
AnythingLLM
Document chat and agent app with built-in RAG, MCP and multi-user support
big-AGI
Multi-model chat workspace with Beam side-by-side model comparison
| What we compare | AnythingLLM | big-AGI |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 81, widely used | 27, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 93, healthy | 70, fair |
| Easy to run | 67, easy | 83, very easy |
| Agent-ready | 0, none | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 66.9k | 7.1k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Aug 2026 |
| Language | Not stated | Not stated |
| Docker | Yes | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Mentioned |
AnythingLLM
AnythingLLM is a Node.js app that ingests PDF, TXT, DOCX and other files into a workspace and chats over them with any of 40+ LLM providers, from llama.cpp, Ollama and LM Studio to OpenAI, Anthropic, Bedrock and Gemini. It ships a native embedder, LanceDB by default plus 8 other vector stores, a no-code agent builder, MCP support, scheduled tasks, model routing and a developer API.
Who it is for: Small teams and individuals wanting private document chat without extra services
Strengths
- LanceDB embedded by default; PGVector, Qdrant, Milvus, Chroma, Weaviate, Pinecone optional
- Native embedder and audio transcription run locally with no extra service
- Multi-user instance with per-user permissions in the Docker build
- Embeddable website chat widget and a full developer API
Weaknesses
- Anonymous telemetry to PostHog is on by default; opt out with DISABLE_TELEMETRY=true
- Multi-user support and the embed widget are Docker-only, not in the desktop app
- Speech-to-text is limited to the browser built-in engine
- No root Dockerfile; container build lives under docker/
- no GPU
- Docker + Compose
- Models: llama.cpp-compatible models, OpenAI, Azure OpenAI, AWS Bedrock, Anthropic
big-AGI
Big-AGI Open is the self-hostable web app behind big-agi.com, deployable via Docker or Vercel. It connects 20+ LLM services and 500+ models with your own API keys, and its Beam feature runs one prompt across several models and merges the answers. Personas, request inspection, web search with citations, image generation and multi-vendor speech are included; data stays local-first in the browser.
Who it is for: Power users comparing several models side by side with their own keys
Strengths
- Beam and Merge: fan one prompt out to several models and reconcile the results
- 20+ LLM services incl. Anthropic, OpenAI, Gemini, Ollama, LM Studio, LocalAI, Bedrock, Groq
- AI Inspector shows the exact requests sent to each provider
- MIT license; no usage charges, bring your own keys
Weaknesses
- Cross-device sync and 1 GB storage only on the hosted Pro tier at $10.99/month
- No SSO or shared team features in the open build; managed deployments by request
- README omits stack, ports and resource requirements; install guide lives in docs/
- README is mostly badges, taglines and release notes rather than specs
- no GPU
- Docker + Compose
- Models: Anthropic, OpenAI, Google Gemini, Ollama, LM Studio