LibreChat vs LobeHub

Self-hosted AI platforms compared

LibreChat and lobehub are TypeScript projects for using AI models and agents through a web interface, with self-hosting available. LibreChat centers on multi-provider chat and conversation tools, while lobehub organizes agents into collaborative, scheduled workflows.

LibreChatLobeHub
LanguageTypeScriptTypeScript
LicenseMIT—
Stars46.1k83.3k
Forks9.5k16k
Last analyzedOct 22, 2026Oct 20, 2026

Key differences

  • LibreChat focuses on bringing multiple AI providers into one chat interface, with conversation history and tools; lobehub centers on building agent teams around ongoing tasks, projects, and schedules.
  • LibreChat includes multi-user authentication, roles, groups, and an admin panel; lobehub describes shared workspaces and project-based collaboration.
  • LibreChat supports file workflows, image generation, conversation branching and sharing, and observability integrations; lobehub highlights structured personal memory and scheduled agent runs.
  • Both are written in TypeScript. LibreChat lists an MIT license, while lobehub's repository metadata says NOASSERTION and its README identifies a LobeHub Community License.
  • Both can be self-hosted. LibreChat emphasizes configuring provider credentials and operating the deployment; lobehub documents Docker and supported hosting platforms.
  • LibreChat notes a substantial configuration surface and warns of breaking changes in its changelog; lobehub describes itself as under active development, so features and workflows may change.

Choose LibreChat if you…

  • need one self-hosted interface for multiple model providers and chat histories.
  • want multi-user controls such as roles, groups, and administrator-managed permissions.
  • need conversation and file workflows, or assistants connected to MCP tools and code execution.
Read the LibreChat analysis →

Choose LobeHub if you…

  • want to build agents that collaborate in shared project context.
  • need to schedule agent runs or organize work across pages and shared workspaces.
  • want structured, editable personal memory for controlling what agents retain.
Read the LobeHub analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.