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LibreChat vs Octop

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

LibreChat

Open source · MIT

Self-hosted, open-source chat interface for many AI models, with agents, tools, and multi-user login.

Octop

Open source · MIT

A self-hosted AI assistant that runs multiple agents for several users on your own machine.

The short answer

Choose LibreChat if you need…

  • Teams that want one shared chat interface across several AI providers
  • People who want to self-host a ChatGPT-style interface and keep their data on their own server
  • Developers who want to connect custom OpenAI-compatible endpoints or local models
  • Organizations that need multi-user login and role-based access

Choose Octop if you need…

  • Households or small teams that want a shared, self-hosted assistant
  • People who want to keep conversations and credentials on their own machine
  • Users who already chat through Feishu, DingTalk, WeCom, Telegram or Discord and want an AI assistant there
  • Developers who want to delegate coding tasks to OpenCode or Claude Code through ACP

Side-by-side

LibreChatOctop
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars46.6k11.5k
Setup difficultyIntermediateIntermediate
How you get itClone and build from sourceDownload the app
Main languageTypeScriptPython
Last code update4 days ago4 days ago

What each one is

LibreChat

LibreChat is a free, open-source web app that looks like ChatGPT but lets you connect to many AI providers, such as OpenAI, Anthropic (Claude), Google, Azure, and local models through compatible APIs. You run it on your own server, so conversations and accounts stay under your control. It also includes agents, tool integrations via MCP, file handling, and code execution.

Octop

Octop is an open-source AI assistant that runs as a single process on your own computer. It serves a web dashboard, a command-line interface, chat integrations such as Feishu, Telegram and Discord, and scheduled tasks, with all data kept under ~/.octop/. Each user can have their own set of specialized agents, which suits households and small teams who want to keep their conversations and credentials local.

Best for

LibreChat

  • Teams that want one shared chat interface across several AI providers
  • People who want to self-host a ChatGPT-style interface and keep their data on their own server
  • Developers who want to connect custom OpenAI-compatible endpoints or local models
  • Organizations that need multi-user login and role-based access

Octop

  • Households or small teams that want a shared, self-hosted assistant
  • People who want to keep conversations and credentials on their own machine
  • Users who already chat through Feishu, DingTalk, WeCom, Telegram or Discord and want an AI assistant there
  • Developers who want to delegate coding tasks to OpenCode or Claude Code through ACP

Strengths

LibreChat

  • Supports many AI providers and any OpenAI-compatible API in one interface
  • Open source under the MIT license and self-hostable
  • Has a large user base, with over 46,000 GitHub stars

Octop

  • Keeps data local: the README states all data lives under ~/.octop/ with SQLite by default
  • One process serves the web UI, CLI, chat channels and cron, which keeps setup simpler
  • Supports multiple users and multiple experts per user, each with its own workspace

Not ideal for

LibreChat

  • People who just want to chat with AI and do not want to run a server; a hosted service is simpler
  • Users with no hosting or Docker experience, since setup involves configuring a server and API keys
  • Those who need features the README marks as experimental, such as attached code workspaces, to be stable

Octop

  • People who need a mature, fully stable product: the release is tagged 1.0.3b1 and AgentTeams is marked Beta in the README
  • Users who want a zero-setup hosted service, since Octop is designed to run on your own machine
  • Anyone unwilling to manage a self-hosted process, its database and its connectors

Trade-offs

LibreChat

  • Self-hosting requires technical setup and ongoing maintenance
  • Some newer features, such as attached workspaces, are labeled highly experimental
  • The README is truncated here, so detailed install steps could not be verified from this excerpt

Octop

  • The README describes many features; some, like AgentTeams, are marked Beta
  • Several features (remote desktop, browser automation, terminal AI) add setup and security considerations that the README only partly explains in the visible text
  • The README shown here is truncated, so detailed setup and configuration steps could not be verified

Getting started

LibreChat

Clone the repository

git clone https://github.com/LibreChat-AI/LibreChat
Step-by-step guide: how to use LibreChat

Octop

Clone the repository

git clone https://github.com/TencentCloud/Octop
Step-by-step guide: how to use Octop

Frequently asked questions

What is the difference between LibreChat and Octop?

LibreChat: Self-hosted, open-source chat interface for many AI models, with agents, tools, and multi-user login. Octop: A self-hosted AI assistant that runs multiple agents for several users on your own machine. LibreChat suits teams that want one shared chat interface across several ai providers, while Octop suits households or small teams that want a shared, self-hosted assistant.

Are LibreChat and Octop free?

LibreChat: Free and open source. Octop: Free and open source.

Is LibreChat or Octop more popular?

LibreChat has more GitHub stars (46.6k) than Octop (11.5k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to LibreChat and Octop?

Other options people compare them with include Chatbot UI, AnythingLLM, OpenWhispr, One API, MCP for Unity.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.