AnythingLLM
All-in-one desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Two self-hosted Generative Artificial Intelligence (GenAI) apps, compared on the facts we track: GitHub popularity and activity, license, language, Docker images and a rough hosting estimate.
| AnythingLLM | Ollama | |
|---|---|---|
| Description | All-in-one desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more. | Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models. |
| GitHub stars | 67,962 | 185,960 |
| Forks | 7.7k | 18.9k |
| Open issues (incl. PRs) | 349 | 4.6k |
| Commits (12 months) | 1k | 1.1k |
| Last activity | 2026-11-05 | 2026-11-05 |
| Latest release | v1.19.0 (2026-10-26) | v0.40.15-rc0 (2026-11-03) |
| Maintenance health | Active | Active |
| License | MIT | MIT |
| Language / platform | Nodejs, Docker | Docker, Python |
| Docker Hub image | – | – |
| Docker pulls | – | – |
| Est. server size | ~8 GB, 4 vCPU | ~8 GB, 4 vCPU |
| Est. hosting from | $40/mo | $40/mo |
| Categories | Generative Artificial Intelligence (GenAI) | Generative Artificial Intelligence (GenAI) |
| Links | Website · Source | Website · Source |
Summary: Ollama leads on GitHub popularity. The right choice depends on the features you need — read both project descriptions and docs.
This summary is generated from GitHub, Docker Hub and awesome-selfhosted data as of 2026-11-05. It does not rate features or quality.
Ollama has more GitHub stars (185,960 vs 67,962 for AnythingLLM, as of 2026-11-05). Stars measure interest, not quality.
Commits in the last 12 months: AnythingLLM 1,017, Ollama 1,139. Both had repository activity on 2026-11-05. Our health labels: AnythingLLM is “Active”, Ollama is “Active”.
Both use MIT.
We did not detect a Docker Hub image for either app. The upstream listing mentions Docker as a deployment option for AnythingLLM and Ollama. Check each project's documentation for install options.
All-in-one desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.
Browse all self-hosted Generative Artificial Intelligence (GenAI) apps.