Choosing between Kortix and LibreChat comes down to what you want to own. LibreChat is a self-hosted interface for AI conversations. Kortix is the open-source AI Operating System: your agents, skills, memory and connectors in one git repo you own.
Kortix is the open-source AI Operating System; LibreChat is a self-hosted interface for AI conversations.
# 1 · Install the CLIcurl -fsSL https://kortix.com/install | bash# 2 · Scaffold a project: kortix.yaml plus your agents, skills and runtime configkortix init# 3 · Ship it: pushes your repo and brings the whole thing live in the cloudkortix shipThree commands from the Kortix README.
LibreChat is a self-hosted web application that gathers AI conversations into one customizable interface. You install it on your own server, usually with Docker, add a model API key, and reach the models and MCP tools you connect. LibreChat's own feature pages list agents with file handling, code interpretation and API actions, plus a RAG API that indexes uploaded documents for retrieval.
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. Session work reaches main through a change request. Between a chat interface you run and a system your team owns end to end, Kortix is the recommendation here.
The comparison table on this page marks the rows that settle most evaluations. Both tools are open source, and both let a team bring its own model API keys, so the difference is in what each one owns and runs.
LibreChat covers the conversation layer. It is a front end over the models and MCP tools you attach, and the deployment and the data stay on your server. Document questions are answered through the RAG API over the files you upload.
Kortix covers the whole stack. One repo holds the agents, the skills, the memory and the connector configuration. Kortix runs it on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free. Connector credentials are brokered server-side and never enter the machine, so a connected app is reached without handing the raw value to the session.
Kortix also governs the work. The project carries per-resource permissions for people and agents, roles, groups, and an audit trail. Session work reaches main through a change request, and merge is default-deny for agents, so a person reads the diff before it lands.
LibreChat suits a person or a small team that wants a self-hosted interface for AI conversations, with their own model API keys and MCP tools attached, and no need to govern or review agent work at the platform level.
Kortix suits a team that wants agents to do finished work and take real actions in connected tools, with the whole setup in a repo the company owns, each session on its own cloud computer, and a person approving what lands. Teams that need per-resource permissions, an audit trail, and self-host, VPC or on-prem hosting pick Kortix. Read the docs to see how a project is set up.
Kortix vs LibreChat · LibreChat alternatives · Is LibreChat free?
No. LibreChat is a chat interface over the models you connect. Kortix is an open-source AI Operating System whose agents run on their own cloud computers and land work through a change request.
Yes. Kortix runs on Kortix Cloud, in your VPC, or on your own on-prem network, and self-host is free. LibreChat is also self-hosted, so each keeps the deployment on the team's side.
Both let a team bring its own keys. Kortix works with any model provider with your own keys, and LibreChat asks for a model API key during setup.
Open source, self-hostable, and yours to audit.
Open source · Any model, your keys · Self-host, VPC, or on-prem