LibreChat - Agent Kiwi Fork

🥝 Agent Kiwi - LibreChat + n8n Workflow Automation

This is a specialized fork of LibreChat that integrates with n8n workflows to create Agent Kiwi - a "package manager for business automations". This fork combines the power of LibreChat's AI chat interface with n8n's workflow automation capabilities through Model Context Protocol (MCP) integration.

🔗 What's Different in This Fork

🤖 Workflow Chat System

• Button-First Interface: Execute n8n workflows through intuitive UI buttons rather than complex prompts
• Dual Navigation: Both regular chat (/c/) and workflow chat (/w/) modes
• n8n Template Library: Access to 2990+ free n8n workflow templates
• Dynamic Categories: Business-friendly categories (AI, Marketing, Sales, HR, etc.)

🔧 n8n Integration Features

• MCP Integration: n8n workflows exposed as Model Context Protocol tools
• Template Sync Service: Dedicated microservice for indexing and managing n8n templates
• Workflow Execution: Direct execution of n8n automations from chat interface
• Business Automation Focus: Curated templates for common business use cases

📦 Agent Kiwi Ecosystem

• Community-Driven: Open-source automation sharing and collaboration
• Template Packages: Organized collections of related workflows
• Easy Deployment: Docker-based setup with unified CLI tooling
• Scalable Architecture: Production-ready with MongoDB, Redis, and Meilisearch

🚀 Getting Started with Agent Kiwi

# Clone the Agent Kiwi repository
git clone https://github.com/leolilley/agent-kiwi.git
cd agent-kiwi

# Setup development environment
./scripts/agent-kiwi.sh dev-setup

# Start the full stack (LibreChat + n8n + services)
docker compose -f docker-compose.dev.yml up -d

# Access the applications
# LibreChat: http://localhost:3080
# n8n: http://localhost:5678

🎯 Use Cases

• Marketing Automation: Lead generation, email campaigns, social media management
• Sales Workflows: CRM automation, pipeline management, customer onboarding
• HR Processes: Employee onboarding, leave management, performance tracking
• Data Processing: Report generation, data synchronization, API integrations
• Customer Service: Ticket routing, automated responses, feedback collection

🏗️ Architecture

This fork maintains full compatibility with upstream LibreChat while adding:

• Workflow Components: Isolated in components/WorkflowChat/
• MCP Server: n8n integration layer
• Template Service: Microservice for template management
• Enhanced Routing: Workflow-specific navigation and state management

📋 Implementation Status

✅ Completed

• Workflow Chat Navigation & UI Components
• n8n Template Library Integration (2990+ templates)
• Business-Friendly Category Mapping
• Dual Navigation System (/c/ chat, /w/ workflows)
• Template Selection & Browsing Interface
• Updated to LibreChat v0.7.8

🚧 In Progress

• Template Sync Microservice (Docker-based)
• MongoDB Schema for Template Storage
• MCP Server Implementation for n8n
• Workflow Execution Engine

📋 Planned

• One-Click Workflow Deployment
• Custom Workflow Creation Interface
• Community Template Sharing
• Advanced Workflow Chaining
• GCP Production Deployment

🤝 Contributing

This is an active fork that stays up-to-date with upstream LibreChat. To contribute:

1. Fork Development: All workflow features are isolated to prevent conflicts with upstream
2. Regular Updates: We merge upstream changes regularly while preserving our enhancements
3. Safe Architecture: Zero modifications to core LibreChat functionality

Related Repositories:

• Main Project: Agent Kiwi
• This Fork: LibreChat-fork
• Upstream: Original LibreChat

---

📖 Original LibreChat Documentation

Below is the original LibreChat README content. All LibreChat features remain fully functional in this fork.

✨ Features

• 🖥️ UI & Experience inspired by ChatGPT with enhanced design and features

• 🤖 AI Model Selection:

  • Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Assistants API (incl. Azure)
  • Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
  • Compatible with Local & Remote AI Providers:
    • Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
    • OpenRouter, Perplexity, ShuttleAI, Deepseek, Qwen, and more

• 🔧 Code Interpreter API:

  • Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
  • Seamless File Handling: Upload, process, and download files directly
  • No Privacy Concerns: Fully isolated and secure execution

• 🔦 Agents & Tools Integration:

  • LibreChat Agents:
    • No-Code Custom Assistants: Build specialized, AI-driven helpers without coding
    • Flexible & Extensible: Attach tools like DALL-E-3, file search, code execution, and more
    • Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, and more
    • Model Context Protocol (MCP) Support for Tools
  • Use LibreChat Agents and OpenAI Assistants with Files, Code Interpreter, Tools, and API Actions

• 🔍 Web Search:

  • Search the internet and retrieve relevant information to enhance your AI context
  • Combines search providers, content scrapers, and result rerankers for optimal results
  • Learn More →

• 🪄 Generative UI with Code Artifacts:

  • Code Artifacts allow creation of React, HTML, and Mermaid diagrams directly in chat

• 🎨 Image Generation & Editing

  • Text-to-image and image-to-image with GPT-Image-1
  • Text-to-image with DALL-E (3/2), Stable Diffusion, Flux, or any MCP server
  • Produce stunning visuals from prompts or refine existing images with a single instruction

• 💾 Presets & Context Management:

  • Create, Save, & Share Custom Presets
  • Switch between AI Endpoints and Presets mid-chat
  • Edit, Resubmit, and Continue Messages with Conversation branching
  • Fork Messages & Conversations for Advanced Context control

• 💬 Multimodal & File Interactions:

  • Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
  • Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️

• 🌎 Multilingual UI:

  • English, 中文, Deutsch, Español, Français, Italiano, Polski, Português Brasileiro
  • Русский, 日本語, Svenska, 한국어, Tiếng Việt, 繁體中文, العربية, Türkçe, Nederlands, עברית

• 🧠 Reasoning UI:

  • Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1

• 🎨 Customizable Interface:

  • Customizable Dropdown & Interface that adapts to both power users and newcomers

• 🗣️ Speech & Audio:

  • Chat hands-free with Speech-to-Text and Text-to-Speech
  • Automatically send and play Audio
  • Supports OpenAI, Azure OpenAI, and Elevenlabs

• 📥 Import & Export Conversations:

  • Import Conversations from LibreChat, ChatGPT, Chatbot UI
  • Export conversations as screenshots, markdown, text, json

• 🔍 Search & Discovery:

  • Search all messages/conversations

• 👥 Multi-User & Secure Access:

  • Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
  • Built-in Moderation, and Token spend tools

• ⚙️ Configuration & Deployment:

  • Configure Proxy, Reverse Proxy, Docker, & many Deployment options
  • Use completely local or deploy on the cloud

• 📖 Open-Source & Community:

  • Completely Open-Source & Built in Public
  • Community-driven development, support, and feedback

For a thorough review of our features, see our docs here 📚

🪶 All-In-One AI Conversations with LibreChat

LibreChat brings together the future of assistant AIs with the revolutionary technology of OpenAI's ChatGPT. Celebrating the original styling, LibreChat gives you the ability to integrate multiple AI models. It also integrates and enhances original client features such as conversation and message search, prompt templates and plugins.

With LibreChat, you no longer need to opt for ChatGPT Plus and can instead use free or pay-per-call APIs. We welcome contributions, cloning, and forking to enhance the capabilities of this advanced chatbot platform.

Click on the thumbnail to open the video☝️

---

🌐 Resources

GitHub Repo:

• RAG API: github.com/danny-avila/rag_api
• Website: github.com/LibreChat-AI/librechat.ai

Other:

• Website: librechat.ai
• Documentation: librechat.ai/docs
• Blog: librechat.ai/blog

---

📝 Changelog

Keep up with the latest updates by visiting the releases page and notes:

• Releases
• Changelog

⚠️ Please consult the changelog for breaking changes before updating.

---

⭐ Star History

---

✨ Contributions

Contributions, suggestions, bug reports and fixes are welcome!

For new features, components, or extensions, please open an issue and discuss before sending a PR.

If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our Translation Guide.

---

💖 This project exists in its current state thanks to all the people who contribute

---

🎉 Special Thanks

We thank Locize for their translation management tools that support multiple languages in LibreChat.