Which is more popular, LibreChat or TextGen?

TextGen has more GitHub stars (47,721 vs 45,203).

Which is more actively developed, LibreChat or TextGen?

LibreChat had more commits in the last 90 days (1,199 vs 1).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

LibreChat is growing faster: +1,618 GitHub stars in the last 30 days vs +215 for TextGen.
Pick LibreChat for: open-source ChatGPT-like interface for multiple AI models, agents, and sandboxed code execution. Pick TextGen for: the original local LLM interface.

From GitHub data refreshed daily.

LibreChatopen-source

Open-source ChatGPT-like interface for multiple AI models, agents, and sandboxed code execution

The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.

+Extensive AI model support with 20+ providers including Anthropic, OpenAI, Google, and custom endpoints for maximum flexibility
+Built-in Code Interpreter with secure sandboxed execution across multiple programming languages (Python, Node.js, Go, C/C++, Java, PHP, Rust, Fortran)
+Self-hosted and open-source with strong community support (35K+ GitHub stars) and easy deployment options on Railway, Zeabur, and Sealos

+Complete offline operation with zero telemetry ensures maximum privacy and data security
+Multiple backend support (llama.cpp, Transformers, ExLlamaV3, TensorRT-LLM) with hot-swapping capabilities
+Comprehensive feature set including vision, tool-calling, training, and image generation in one interface

-Requires technical setup and maintenance compared to hosted solutions like ChatGPT or Claude
-Multiple provider integrations may require separate API keys and configuration management
-Resource-intensive when running locally with code execution capabilities

-Requires significant local hardware resources (GPU/CPU) for optimal performance
-Full feature set installation may be complex compared to portable GGUF-only builds
-No cloud-based fallback options when local hardware is insufficient

•Organizations needing a self-hosted ChatGPT alternative with control over data privacy and AI provider selection
•Developers requiring integrated code execution and file processing capabilities alongside conversational AI
•Research teams wanting to compare outputs across multiple AI models (OpenAI, Anthropic, Google) within a single interface

•Privacy-sensitive organizations needing local AI without data leaving premises
•Researchers and developers fine-tuning custom models with LoRA training
•Content creators requiring offline multimodal AI for text, vision, and image generation

Which is more popular, LibreChat or TextGen?: TextGen has more GitHub stars (47,721 vs 45,203).
Which is more actively developed, LibreChat or TextGen?: LibreChat had more commits in the last 90 days (1,199 vs 1).
Should I use LibreChat or TextGen?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.