ChatForge is a full-stack AI chat application featuring a Next.js 15 frontend and Node.js backend. It acts as an OpenAI-compatible API proxy with enhanced capabilities including server-side tool orchestration, conversation forking, model comparison with judge evaluation, Playwright-powered browser automation, and cross-platform desktop app support.

While OpenWebUI and LibreChat are excellent options, ChatForge distinguishes itself through unique features they don’t offer.

Why ChatForge?

Feature	ChatForge	OpenWebUI	LibreChat
Architecture	Node.js + SQLite (simple, single binary)	Python + complex stack	Node.js + MongoDB
Browser Automation	✅ Playwright with SPA support	❌ Basic fetch	❌ Basic fetch
Model Comparison	✅ Side-by-side with judge/evaluation	❌	❌
Conversation Forking	✅ Fork at any message	❌	❌
Cross-Conv Memory	✅ Built-in Journal tool	❌	❌
Prompt Caching	✅ Automatic cache breakpoints	❌	❌
Desktop App	✅ Native Electron with auto-login	❌	❌
Checkpoint Persistence	✅ Resume aborted streams	❌	❌

What Makes ChatForge Unique

• ⚖️ Judge/Evaluation System — Built-in automated model comparison with configurable judge models that provide numerical scores and reasoning for objective model evaluation. No other open-source chat UI offers this.

• 🌐 Enhanced WebFetch with Playwright — Unlike competitors’ basic HTTP fetching, ChatForge uses real browser automation with specialized content extractors for Reddit, StackOverflow, and SPAs that block standard crawlers.

• 🔀 True Model Comparison Mode — Compare multiple models side-by-side with completely isolated conversation histories, not just message-by-message switching.

• 🍴 Conversation Forking — Fork conversations at any message point to explore alternative paths without losing your original conversation thread.

• 📓 Journal Tool — Persistent cross-conversation memory that allows AI to store and retrieve notes across different chat sessions.

• 💾 Prompt Caching Optimization — Automatic cache breakpoint insertion (especially for Anthropic models) to reduce token costs and latency.

• 🔄 Streaming with Checkpoint Persistence — Abort streaming responses anytime with automatic state preservation, allowing you to resume or branch from any point.

• 🖥️ Native Desktop App — Cross-platform Electron app with auto-login and native packaging, not just a web wrapper.

• ⚡ Zero-Config Deployment — Single Docker image with SQLite (no external database required) vs. complex MongoDB/PostgreSQL setups.

Core Capabilities

• 🤖 Server-Side Tool Orchestration: Unified tool calling with iterative workflows, thinking support, parallel execution, and intelligent error handling
• 💬 Real-Time Streaming: Server-Sent Events (SSE) with tool execution visibility and abort support
• 💾 Conversation Persistence: SQLite-backed storage with automatic retention cleanup and migration system
• 🔌 Multi-Provider Support: OpenAI-compatible interface supporting OpenAI, Anthropic, and Gemini providers
• 🎨 Modern UI: React 19 with markdown rendering, syntax highlighting, code wrapping, HTML preview, and responsive design
• 🗂️ Prompt Management: Built-in and custom system prompts with conversation-aware selection

AI Capabilities

• 🖼️ Image Upload & Vision Support: Multimodal vision support with drag-and-drop UI
• 🎙️ Audio Upload Support: Upload and send audio files for voice-enabled models
• 📎 File Attachment Support: Text file upload with content extraction
• 🧠 Reasoning Controls: Support for reasoning effort and extended thinking modes
• 💾 Prompt Caching Optimization: Automatic cache breakpoints to reduce token costs
• 📓 Journal Tool: Persistent memory tool for cross-conversation AI memory

Quick Start

One-line Docker deployment:

docker run -d --name chatforge -p 3000:3000 \
  -v chatforge_data:/data -v chatforge_logs:/app/logs \
  -e DB_URL=file:/data/prod.db qduc/chat:latest

Visit http://localhost:3000, register, and configure your API keys in Settings → Providers & Tools.

Tech Stack

• Frontend: Next.js 15, React 19, TypeScript
• Backend: Node.js, Express, SQLite
• Desktop: Electron for cross-platform support

Check out the GitHub repository for detailed documentation and setup instructions.