8 Best TextGen Alternatives in 2026 (Open Source)

TextGen — The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.. Most feature-complete local LLM web UI with 4 inference backends, training, tool-calling, vision, and image gen — vs Ollama (CLI-focused) or LM Studio (closed source)

These 8 open-source tools do the same job. They are ordered by how closely they match TextGen, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
TextGen(original)47.7k+2172026-08-17
Open WebUI153.6k+3,9582026-09-21
Jan44.7k+5512026-09-30
Ollama182.0k+2,5112026-09-30
LibreChat45.2k+1,6292026-09-30
Chatbox41.9k+4422026-09-24
Open Assistant API367+12024-12-14
Langchain-Chatchat38.7k+1612025-11-10
harbor3.2k+1112026-09-25
  1. 1. Open WebUI

    User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

    What sets it apart: Unlike LM Studio (desktop-only, personal use), Open WebUI is a full multi-user platform with RAG, RBAC, SCIM provisioning, 9 vector DBs, and Google Drive/OneDrive integration — the most feature-complete self-hosted ChatGPT alternative

    Best for: Teams wanting a self-hosted ChatGPT alternative with full data control and Ollama integration; Organizations needing enterprise-grade AI platform with LDAP/SCIM/SSO and multiple vector DB backends

  2. 2. Jan

    Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.

    What sets it apart: Most polished desktop LLM app combining local inference with cloud providers — ChatGPT-like UX for local models, unlike command-line-focused Ollama

    Best for: Privacy-focused users wanting local LLM inference; Developers needing a local OpenAI-compatible API for testing

  3. 3. Ollama

    Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

    What sets it apart: Unlike vLLM (production server focus) or LM Studio (GUI-first), Ollama is the simplest CLI-first tool for running local LLMs with one-command setup, an OpenAI-compatible API, and the largest ecosystem of 100+ community integrations.

    Best for: Developers who want to run open-source LLMs locally with zero configuration; Privacy-sensitive use cases requiring fully offline LLM inference

  4. 4. LibreChat

    Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se

    What sets it apart: Most feature-complete self-hosted ChatGPT alternative — uniquely combines agents, MCP, code interpreter, image gen, and multi-user auth in one package, unlike single-provider UIs

    Best for: Organizations wanting a private, self-hosted ChatGPT replacement; Teams needing multi-user AI platform with access control and audit

  5. 5. Chatbox

    Powerful AI Client

    What sets it apart: vs ChatGPT web app: supports multiple LLM providers with local data storage; vs Open WebUI: lighter desktop-native app with mobile support rather than self-hosted web UI

    Best for: Desktop users wanting unified LLM chat interface; Privacy-conscious users preferring local data storage; Teams sharing API resources

  6. 6. Open Assistant API

    The Open Assistant API is a ready-to-use, open-source, self-hosted agent/gpts orchestration creation framework, supporting customized extensions for LLM, RAG, function call, and tools capabilities. It

    What sets it apart: Open-source OpenAI Assistant API compatible service supporting multiple LLMs via One API, with RAG, web search, and local deployment

    Best for: self-hosted-openai-assistant-alternative; multi-llm-assistant-apps; enterprise-local-deployment

  7. 7. Langchain-Chatchat

    Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Ll

    What sets it apart: The most mature Chinese-ecosystem RAG framework with complete offline capability, supporting 5+ model deployment backends (Xinference, Ollama, LocalAI, FastChat, One API) — no other solution offers this level of Chinese LLM integration with zero-cloud-dependency operation

    Best for: Chinese enterprises needing offline, privacy-preserving knowledge base systems with local LLMs; Teams wanting a turnkey RAG solution with agent capabilities and multi-framework model support

  8. 8. harbor

    One command brings a complete pre-wired LLM stack with hundreds of services to explore.

    What sets it apart: The all-in-one local LLM stack orchestrator — spin up 30+ pre-wired services (backends, frontends, RAG, voice, images) with a single harbor up command

    Best for: Developers wanting full local LLM stack without manual setup; Teams evaluating multiple inference backends side-by-side; Privacy-conscious users running AI completely locally