The open-source AnythingLLM alternative: when chatting with your docs stops being company work

Kortix is the open-source AnythingLLM alternative for teams that have outgrown a document-chat app and need agents that run real company work. Kortix is the open-source AI Operating System: your agents, their skills, your company memory, and every connector live in one git repo you own, and each session runs on its own cloud computer.

AnythingLLM is a good tool with a clear job. Knowing exactly where that job ends is the whole decision, so this article draws the line factually, using AnythingLLM's own README and the Kortix docs.

What AnythingLLM does well

AnythingLLM by Mintplex Labs is an all-in-one, local-first AI app: chat with your documents, connect a local or cloud model, and get built-in agents, vector databases and document pipelines "with zero setup friction." It ships as a desktop app for Mac, Windows and Linux, and as a Docker deployment, and it is MIT-licensed, with the full monorepo public on GitHub.

For a person or a small group who wants a private ChatGPT over their own files, that is exactly the right shape. It supports multiple users where you control access per user, and it has genuinely useful additions — dynamic model routing, scheduled tasks, an MCP-compatible no-code agent builder, and a full developer API.

Where AnythingLLM stops

The README is explicit about the boundary: multi-user instance support and permissioning are Docker version only, and the embeddable chat widget is too. Its agents act inside that one app instance. That is the design — AnythingLLM is "the all-in-one AI app," and an app is not a system of record for agent work.

A company-level agent system has to answer questions AnythingLLM was never built to answer:

• Do sessions start on a schedule or a webhook, with nobody present?
• Do agents reach across Slack, tickets, CRM, docs and code, with a permission rule on each tool call?
• Does finished work — a report, a fix, a reply — land somewhere a person reviews before it counts?
• Is the whole configuration a thing you own, version and roll back?

If the answer to those is "no," you have a document-chat app, not an agent platform. That is not a knock on AnythingLLM; it is the line between a chat product and an operating system.

What Kortix is

Kortix is the open-source AI Operating System. Your agents, their skills, the company memory, the connector configuration and the triggers are all files in one git repo — not settings in someone else's database. You can grep the whole company, diff any change, and roll any part of it back.

• One repo that is the company. Agents and skills are markdown; memory is files that accumulate; kortix.yaml declares the machine image, the connectors and the triggers.
• Any model, your keys. Pick the model per agent, per session or per message, bring your own API key from any major provider, or sign in with the ChatGPT subscription you already pay for.
• Governance on every tool call. Connect 3,000+ apps, plus MCP, OpenAPI, Postman, GraphQL and raw HTTP. Set allow, ask or block on each call — down to the arguments. Connector credentials are brokered server-side and never enter the machine.
• Isolated sessions and a review gate. Every session gets its own sandbox and branch; thousands run in parallel with no crossover. Work reaches main as a change request a person approves, and merge is default-deny for agents.

You can self-host it for free, run it in your VPC or on-prem, or use the managed cloud.

Kortix vs AnythingLLM, side by side

	AnythingLLM	Kortix
Open source	Yes, MIT	Yes
Where it runs	Desktop app or Docker deployment	Self-host, VPC, on-prem, or managed cloud
Built for	Chatting with documents in one local-first app	Running an agent team that does company work
Multi-user & permissions	Docker version only	Per-resource permissions for people and agents, roles, groups, audit trail
Agent reach	Inside the app instance	Slack, Microsoft Teams, CLI, API, 3,000+ apps, schedules and webhooks
Work output	Answers in the chat	Finished work landing as a reviewed change request
Configuration	In the product	Files in a git repo you own

Which one should you pick

Pick AnythingLLM if the job is a person or a small team chatting with documents on local models. It is a capable, local-first app built for exactly that, and it sets up in minutes.

Pick Kortix when you want a company-level system you own, one that agents actually run: sessions on real cloud computers, connectors governed per tool call, and finished work landing as reviewed change requests. If you already run AnythingLLM and want to bring your setup across, the migration guide covers the move step by step.

Facts in this comparison come from each project's own repository and site: the AnythingLLM README and repository (Mintplex-Labs/anything-llm), and the Kortix docs. AnythingLLM is MIT-licensed and maintained by Mintplex Labs.

The decision guide and the full Kortix vs AnythingLLM comparison walk the difference line by line. To judge it yourself, point Kortix at one real task and watch the change request come back — start at kortix.com.