TypingMind

Best Self Hosted Alternatives to TypingMind

A curated collection of the 3 best self hosted alternatives to TypingMind.

TypingMind is a web-based AI chat interface that connects to LLM providers (e.g., OpenAI, Anthropic). It offers conversation management, prompt libraries, chat organization, and model/custom settings for running and managing LLM-driven workflows.

Alternatives List

#1
Open WebUI

Open WebUI

Feature-rich, self-hosted AI interface that integrates Ollama and OpenAI-compatible APIs, offers RAG, vector DB support, image tools, RBAC and observability.

Open WebUI screenshot

Open WebUI is a web-based, extensible AI interface that provides a unified GUI for interacting with local and cloud LLMs. It supports multiple LLM runners and OpenAI-compatible APIs, built-in RAG, artifact storage, and collaboration features.

Key Features

  • Multi-runner support (Ollama and OpenAI-compatible endpoints) and built-in inference integrations for flexible model selection
  • Local Retrieval-Augmented Generation (RAG) with support for multiple vector databases and content extractors
  • Image generation and editing integrations with local and remote engines; prompt-based editing workflows
  • Granular role-based access control (RBAC), user groups, and enterprise provisioning (SCIM, LDAP/AD, SSO integrations)
  • Persistent artifact/key-value storage for journals, leaderboards, and shared session data
  • Progressive Web App (PWA) experience, responsive UI, and multi-device support
  • Native Python function-calling tools (BYOF) and a web-based code editor for tool/workspace development
  • Docker/Kubernetes deployment options, prebuilt image tags for CPU/GPU and Ollama bundles
  • Production observability with OpenTelemetry traces, metrics and Redis-backed session management

Use Cases

  • Teams wanting a central, auditable chat interface to query multiple LLMs and manage permissions
  • Knowledge workers and developers using local RAG pipelines to query private document collections securely
  • Experimentation and model comparison workflows combining multiple models, image tools, and custom functions

Limitations and Considerations

  • Advanced features (model inference, heavy image generation) require external runners or GPU resources; performance depends on the chosen backend
  • Some enterprise integrations and optional storage backends require additional configuration and credentials
  • Desktop app is experimental; recommended production deployment paths are Docker, Docker Compose or Kubernetes

Open WebUI is positioned as a flexible interface layer for LLM workflows, emphasizing provider-agnostic integration, RAG, and enterprise features. It is suited for teams that need a full-featured, customizable web UI for local and cloud model workflows.

120.9kstars
17kforks
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#2
LibreChat

LibreChat

LibreChat is a self-hosted AI chat platform that supports multiple LLM providers, custom endpoints, agents/tools, file and image chat, conversation search, and presets.

LibreChat is an open-source, self-hostable AI chat application that provides a ChatGPT-style interface while supporting many AI providers and OpenAI-compatible endpoints. It focuses on multi-user deployments, flexible model switching, and extensible agent/tool workflows.

Key Features

  • Multi-provider model selection (including OpenAI-compatible APIs) with per-chat switching and presets
  • Agents and tool integrations, including MCP support for connecting external tools
  • Code Interpreter capabilities for sandboxed code execution and file handling
  • Multimodal interactions: chat with files and analyze images (provider-dependent)
  • Generative “artifacts” for creating code outputs (such as React/HTML) and Mermaid diagrams in chat
  • Conversation and message search, plus import/export of conversations
  • Multi-user authentication options (OAuth2, LDAP, and email login) and basic moderation/spend controls

Use Cases

  • A unified internal AI chat portal for teams using multiple LLM vendors and endpoints
  • Building no-code or low-code AI assistants that can call tools, search, and execute code
  • Secure, self-hosted chat workflows for analyzing documents and iterating on code artifacts

Limitations and Considerations

  • Some capabilities (multimodal, image generation, web search, specific tools) depend on configured providers and credentials
  • Running code execution and tool integrations increases operational and security requirements and should be carefully sandboxed and access-controlled

LibreChat fits organizations and individuals who want a single, customizable chat UI for many models, with advanced features like agents, tool connectivity, and searchable conversation history. It is best suited for deployments that need multi-user access and flexible endpoint configuration.

33.1kstars
6.6kforks
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#3
Recommendarr

Recommendarr

LLM-driven movie and TV recommendation web app that uses Sonarr/Radarr libraries and Plex/Jellyfin watch history to generate personalized suggestions.

Recommendarr is a web application that generates personalized movie and TV show recommendations using data from your existing media library and watch history. It integrates with popular media managers and can use cloud or local LLM providers to tailor suggestions to your preferences.

Key Features

  • AI-powered recommendations based on Radarr and Sonarr libraries
  • Watch history analysis via Plex and Jellyfin, with optional Tautulli and Trakt integration
  • Supports multiple AI backends, including OpenAI-compatible APIs and local LLMs
  • Web UI with configurable recommendation settings (count and model parameters)
  • Light/dark theme support and poster display with fallbacks
  • Built-in authentication with optional OAuth login support

Use Cases

  • Discover new movies and series that match your existing collection
  • Generate recommendations based on what household members actually watch
  • Run a local-LLM recommendation workflow for a privacy-focused media setup

Limitations and Considerations

  • Recommendation quality depends heavily on the completeness of your library metadata and watch history
  • External access should be deployed behind a properly configured reverse proxy and authentication

Recommendarr is a practical companion for Sonarr/Radarr-centric media stacks, combining library context with LLMs to produce tailored suggestions. It fits well in Plex or Jellyfin environments where you want recommendations driven by your own viewing habits.

1kstars
19forks
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Why choose an open source alternative?

  • •Data ownership: Keep your data on your own servers
  • •No vendor lock-in: Freedom to switch or modify at any time
  • •Cost savings: Reduce or eliminate subscription fees
  • •Transparency: Audit the code and know exactly what's running