This version marks a complete architectural evolution from the legacy lollms_webui (v1.16.0 "Twins"). LoLLMs is now a full-scale, multi-user AI orchestration platform.
Added
- Multi-User Foundation: High-performance SQLite/SQLAlchemy backend replacing legacy YAML files. Supports secure authentication (JWT), user registration modes, and persistent session management.
- LoLLMs Client Integration: Core logic moved to the unified
lollms_clientlibrary for faster, more reliable model interactions. - SafeStore (RAG) Studio: Full implementation of Retrieval Augmented Generation. Create persistent Data Stores, index massive document libraries, and perform semantic search across your local knowledge.
- AI Social Feed: A community-driven feed allowing users to share posts and interact. Featuring
@lollms—an autonomous bot capable of researching topics via Google, DuckDuckGo, ArXiv, and real-time Web Scraping. - Messaging & Groups: Direct messaging system between users and the ability to organize chats into nested, hierarchical groups.
- Specialized Studios:
- Notebook Studio: Document-based writing with integrated AI editing and long-form research.
- Image Studio: Advanced control over TTI (Text-to-Image) with prompt history and generation workflows.
- Voice Studio: Design and test high-quality AI voices using the new TTS (Text-to-Speech) pipeline.
- MCP Bridge: Native support for Model Context Protocol (MCP), allowing any model to use external tools like calculators, search engines, and local file systems.
- Admin Command Center: Real-time hardware monitoring (GPU/CPU/RAM), user provisioning (SCIM), Single Sign-On (SSO) configuration, and global service management.
- Multi-Worker Synchronization: New Communication Hub (ComHub) for seamless event broadcasting across high-concurrency server clusters.
- Auto-Posting Service: Configurable bot scheduler that uses knowledge bases to generate engaging community content autonomously.
Changed
- UI Redesign: Complete shift to a modern, responsive Vue 3 + Tailwind CSS interface with beginner to expert UI levels.
- API Standard: Fully compatible OpenAI v1 and Ollama v1 endpoints serving local models to external applications.
Fixed
- Resolved many concurrency issues inherent in the single-user architecture of previous versions.
- Improved model loading performance with intelligent process caching.