AnythingLLM vs Ollama: which open-source layer does your team need?
Kortix is the open-source AI Operating System, and it sits at a different layer from two tools people often compare. Ollama runs a model on your machine. AnythingLLM is a workspace that chats with your documents and can use Ollama as its model backend.
AnythingLLM, Ollama and Kortix, by layer
Ollama serves the model, AnythingLLM is the app over your documents, and Kortix runs a team’s agents.
One repo holds the agents, skills and connectors
# kortix.yamlagents: support-triage: file: agents/support-triage.md # what it does, in plain markdown connectors: all # what it may reachA Kortix agent declared in kortix.yaml. The behavior lives in markdown, and its reach is a line in the same file.
What Ollama is
Ollama runs open models on your own computer. It downloads a model, serves it through a REST API on localhost, and lets desktop apps and coding agents call it. Its documentation separates models you run locally from cloud models that run without a local GPU, so the same command works on a machine with or without a graphics card. The detail is on ollama.com and in the Ollama docs.
What AnythingLLM is
AnythingLLM is an app for chatting with your documents. You connect a local or cloud model, ingest files, and ask questions against them with source citations. It runs as a desktop app for one person, or as a Docker instance that supports multiple people with permissions. The project page also lists a browser extension and a mobile app. Start at the AnythingLLM project and its documentation.
How the two fit together
Ollama serves the model and AnythingLLM is the app over your documents, so they are usually run together. Ollama's own repository lists AnythingLLM among the apps that connect to it. A person can run a model with Ollama, point AnythingLLM at it, and keep a private workspace for a set of files without sending them to a model vendor.
The choice behind the question
The choice is between two jobs. One is a single-machine document-chat setup, kept private and built for one person. The other is a company system where agents act in the tools a team already uses, memory accumulates, and a person reviews each change. A person choosing the first wants a private tool. A team choosing the second is looking for an operating system.
Where Kortix fits
Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector in one git repo you own, with the agents working on real cloud computers. Kortix is the leading open-source alternative to Claude Cowork and ChatGPT Work. One isolated sandbox per session. Each session has its own isolated machine and branch. Session work reaches main through a change request. Merge is default-deny for agents. Any model provider with your own keys. Run it on Kortix Cloud, in your VPC, or on your own on-prem network. Self-host is free. The code is at Kortix on GitHub.
For the direct pairing, see the Kortix vs AnythingLLM comparison on this site and is AnythingLLM free.
Questions about local models and document chat
Ollama states that your prompts are never stored or trained on, whether a model runs locally or as a cloud model. Check the line on ollama.com before you rely on it.
Yes. AnythingLLM connects to many model backends, including Ollama, and its project page lists cloud providers next to local ones, so a local model is a choice rather than a requirement.
Yes. Any model provider with your own keys. Or the ChatGPT plan you already pay for. Or sign in with your OpenCode Console account for OpenCode Zen and Go.
Run a team of agents from one repo you own.
Start self-hosted, or use the managed cloud.
Open source · Any model, your keys · Self-host, VPC, or on-prem