AnythingLLM vs Jan: open-source tools for one person, or a team?
Kortix is the open-source AI Operating System, while AnythingLLM and Jan are personal tools for one machine. AnythingLLM chats with your documents; Jan is a desktop app for local models. A team needs shared agents and a review step, which is the job Kortix takes on.
AnythingLLM, Jan and Kortix, by who they serve
Two personal apps for one machine, and one system a team shares.
What Jan is
Jan is a desktop app for running and chatting with models on your own computer. Its documentation covers a desktop client for chat, models, MCP connectors and a local API server, plus a separate agent that runs against a local model. The project describes itself as open source and built in public. Start at jan.ai and the Jan 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.
Where a desktop app stops
Both tools are personal. They run on one machine, under one person's account, and the files and history stay there. That is the right shape for one person with one set of notes. When several people need the same assistants and the same rules, the setup has to live somewhere everyone can reach and someone can review. At that point the question becomes where the configuration lives.
What a team adds with Kortix
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. The configuration is a file a team can read, review and diff:
# kortix.yamlagents: support-triage: file: agents/support-triage.md # what it does, in plain markdown connectors: all # what it may reachKortix 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 pairings, see AnythingLLM vs LM Studio and Kortix vs AnythingLLM.
Questions about personal AI tools and team setups
Yes, both are. Jan says it is open source and built in public, and AnythingLLM's own project page states it too.
Either. Jan lets you choose from open models or plug in online models, and its docs list MCP connectors and a local API server.
Yes, on the Docker version, which supports multiple people with permissioning. The desktop app is built for one person.
Yes. Per-resource permissions for people and agents. Roles, groups, and an audit trail.
Give the whole team the same agents.
One repo, reviewed like code.
Open source · Any model, your keys · Self-host, VPC, or on-prem