upgrade n8n from 1.123.3 to 2.0.0-rc.4 with external task runners for
Code node execution. task runners handle javascript and python code
execution in isolated containers with configurable concurrency.
key changes:
- add n8n-runner service using n8nio/runners:2.0.0-rc.4
- configure runner auth token and broker communication
- add N8N_RUNNER_COUNT for scaling runner replicas
- move code node library config to runner container
- update binary data mode from filesystem to database
- add runner count prompt to installation wizard
- Introduced a new workflow to automate the backup of n8n workflows to GitHub, including functionality to track and delete workflows that have been removed in n8n.
- Implemented nodes for file retrieval, comparison, and conditional actions based on file status (new, different, or same).
- Added scheduling capabilities and notifications via Telegram for workflow execution status.
- Configured global variables for GitHub repository settings to streamline user setup.
- Changed N8N service configuration in docker-compose.yml to build from a local context instead of using the latest image.
- Added a new Dockerfile for the N8N service that installs ffmpeg to enhance functionality.
- Introduced a new workflow for generating children's stories using structured input and AI-driven prompts.
- The workflow includes various nodes for defining story elements, character creation, and story drafting.
- Integrated sticky notes for user guidance and instructions throughout the story creation process.
- Enhanced automation by allowing users to save generated stories directly to Google Drive, streamlining the storytelling experience.
- Introduced a comprehensive workflow that automates the generation of video content using Veo3 and posts it across multiple social media platforms including Instagram, YouTube, TikTok, Facebook, Threads, Twitter, LinkedIn, Bluesky, and Pinterest.
- Integrated Google Sheets for managing video ideas and tracking statuses.
- Implemented a scheduling trigger to run the script daily, enhancing content production efficiency.
- Refined various workflows to improve their performance and usability, including updates to AI-powered automation tasks.
- Enhanced integration with external services such as Google Sheets, Telegram, and OpenAI, ensuring smoother data handling and user interactions.
- Improved documentation and clarity within workflows to facilitate better understanding and usage for end-users.
- Introduced a comprehensive workflow that automates the generation of short-form videos using OpenAI, Flux, Kling, and ElevenLabs.
- The workflow includes nodes for image generation, video creation, voiceover generation, and uploading to multiple social media platforms.
- Enhanced user guidance with sticky notes detailing setup instructions and API key requirements for seamless integration.
- Implemented error handling and retry mechanisms to ensure robust execution of video generation tasks.
- Introduced a new workflow that automates the backup of all n8n workflows to Google Drive at a 4-hour interval.
- The workflow includes nodes for creating folders, converting workflows to JSON files, and managing folder deletions to maintain organization.
- Enhanced scheduling and filtering capabilities to ensure efficient backup management.
- Introduced a comprehensive workflow that automates the backup of n8n workflows to Google Drive.
- The workflow includes nodes for scheduling, retrieving existing workflows, and sending success or failure notifications via email and Discord.
- Enhanced user guidance with sticky notes detailing setup instructions and important information.
- Introduced a comprehensive workflow that automatically documents and backs up n8n workflows to Notion and GitHub.
- The workflow includes nodes for setting fields, mapping data, and handling notifications, ensuring efficient management and tracking of workflow changes.
- Introduced a comprehensive workflow that automates the scheduling of YouTube videos, including fetching the latest videos, generating SEO-optimized titles, descriptions, and tags using AI, and updating video metadata.
- The workflow enhances content management efficiency on YouTube by integrating various nodes for video processing and scheduling.
- Introduced a comprehensive workflow that automates the process of uploading videos to YouTube, including downloading video files from Google Drive, generating descriptions and tags using AI, and updating video metadata.
- The workflow includes nodes for downloading videos, creating descriptions, generating SEO-optimized titles, and managing video uploads, enhancing the efficiency of content management on YouTube.
- Modified the n8n import script to enhance functionality.
- Added multiple new workflow JSON files for various AI applications, including automated email responses, sentiment analysis, and social media management.
- Updated existing workflows to improve performance and integration with AI tools.
