Redmine AI - AI Plugin for Intelligent Project Management

Redmine Products / Redmine AI - AI Plugin for Intelligent Project Management

Availability: The Redmine AI Plugin is not available as a standalone license. It is exclusively available to hosting customers: as a monthly AI Add-On to AlphaNodes Managed Redmine Hosting, as part of the Enterprise Support Package, or via our Redmine AI Hosting.

AI-Powered Project Management for Redmine

Supported AI Providers

Connect to the AI provider that fits your needs:

• OpenAI - All current GPT models
• Anthropic Claude - All current Claude models
• Google Gemini - All current Gemini models
• Azure OpenAI - Enterprise-grade OpenAI in your Azure tenant
• Ollama - Run AI models locally for maximum data privacy
• Grok / xAI - Grok models by xAI
• OpenAI-compatible APIs - LM Studio, vLLM and more

Important: The plugin itself does not contain an AI service. You connect Redmine to a provider of your choice - via its API. Usage costs and privacy terms depend on the respective provider.

Flexible & Cost-Controlled

Anyone on the team who should work with the AI does not need to master it first. Users with the appropriate permission set up prompt templates with variables - this defines exactly which data is sent to the AI. Everyone else calls up the template with a single click, without any prompt engineering on their side.

Cost and access under control: Token limits per model with automatic fallback keep usage within budget. Permissions control who can execute which prompts and which data fields are sent to AI providers.

Key Features

• Custom AI Prompts - Users with the appropriate permission set up prompts with variables. This defines exactly which data is sent to the AI. Everyone else calls up the template with a single click - without any prompt engineering on their side.
• AI Reply Suggestion - Directly in the issue edit form, one click in the toolbar generates a context-aware reply suggestion. The AI understands the full issue history and inserts the draft into the notes field - ready for free editing.
• Text Correction - One click in the toolbar corrects spelling, grammar, and punctuation in any text field. The result is shown in a before/after comparison - apply with a single click.
• Automatic Analyses - Certain prompts run automatically when an issue is opened for the first time. The result is saved and instantly available on the next visit - without an additional API call.
• AI Dashboard Block - Freely configurable AI block for project dashboards: displays open issues, overdue items, or version progress as an AI-processed summary.
• Privacy Control - Define which data is sent to AI providers. Keep fields with personal information like author or assignee out of AI requests. Combined with local models via Ollama, your data never leaves your network.
• Granular Permissions - Control who can execute prompts and view AI results
• Cost Control - Token limits per model with automatic fallback to alternative models

AI Assistant - Interactive Chat in the Project

The AI Assistant is a full chat interface directly inside your Redmine project. It knows the project context - issues, wiki, members - and can actively take action on request:

• Create and edit issues - based on natural language, with a confirmation dialog before any write action
• Create and update wiki pages - directly from the chat, without switching context
• Search issues and wiki - including analysis of file attachments and images
• Import external content - include web pages as working material in the conversation

Shared conversations: Chats can be configured as project-public, role-based, or private. Teams collaborate on a shared conversation - everyone sees who asked what.

External tool integration (MCP): Connect the assistant to external services like Slack, GitHub, or other MCP-compatible sources as additional information and action sources.

AI-Powered Automation

When used together with the Redmine Automation Plugin, the AI Plugin adds two AI-driven actions to your automation rules:

• AI Issue Change - Analyzes a ticket and automatically updates it: assigns tags, sets priority, changes status, assigns a user, or adds a comment - based on a plain-language prompt you define.
• AI Tool - Executes an AI task with full tool access: search issues, create tickets, read wiki pages, and more - triggered automatically by your automation rules.

This lets you build workflows that run without manual input. Typical examples: auto-tagging new tickets by topic, automatically setting priority based on content, or routing issues to the right team based on description.

Cost control built in: Each action can be assigned a model tag with a token limit. Once the daily or monthly budget is reached, the action stops - the ticket is saved without AI modification, without errors.

Requires the Redmine Automation Plugin.

Vector Search (PostgreSQL only)

When using Redmine with PostgreSQL, additional features become available:

• Similar Tickets - Find related issues based on meaning, not just keywords
• Duplicate Detection - Get warnings when creating issues similar to existing ones
• Relevant Wiki Pages - Automatically surface related documentation

Note: Vector Search requires PostgreSQL with pgvector. These features are not available with MySQL.

Who Benefits from Redmine AI?

The AI Plugin for Redmine provides different leverage points depending on the role. Here is concretely what four typical Redmine user groups gain from it.

Status reports without copy-paste

Ideal for project managers who want to be informed about the current status automatically:

• The AI text block on the project dashboard generates status reports automatically from current issue data, without manual effort.
• The AI Assistant answers questions directly in the project context: Which issues are blocking the sprint?, Where are the risks?.
• Pre-defined AI prompts generate risk analyses, stakeholder summaries, or escalation lists.

Understand issues faster, automate routines

Ideal for support teams that want to handle recurring requests and long issue histories more efficiently:

• Get automatic issue summaries when opening an issue. You understand the history in seconds instead of minutes.
• In combination with the Automation Plugin, prioritize issues automatically by content or route specific tasks to a specialized person.
• Check outgoing messages quickly for correct spelling or other internal guidelines.

Find context, process bug reports

Ideal for developers that want to triage bug reports faster and find context across complex tickets:

• Quick summaries of complex bug reports including reproduction steps and affected components.
• Find similar issues and wiki pages via semantic search, even when the wording differs.
• Connect to GitHub or GitLab via the MCP integration.

GDPR-compliant and without maintenance burden

Ideal for IT managers that want to roll out AI in a controlled, compliance-safe way:

• Control granular permissions. You decide who can use which AI features and which data is included in prompts.
• Run multiple AI providers in parallel. You decide whether to use a local Ollama for sensitive issues or a cloud provider for non-critical tasks (controllable per tag).
• Set token limits per model when needed (automatic fallback keeps costs under control).

Recommended reading: GDPR-compliant AI integration in Redmine

Plugin, server and model. All hosted in Germany.

AI in Redmine where the plugin, hosting and - if you choose - the language model itself stay in Germany.

• Plugin development from Bavaria - the Redmine AI Plugin is built and maintained by AlphaNodes.
• Hosting in German data centers - including a data processing agreement, ISO-certified locations, no data transfers to third countries.
• Optional local LLM - with Redmine AI Hosting the language model itself (Ollama) runs on German hardware. Your issues never leave your network.

We take care of the setup completely.

Redmine Cloud Package   Redmine AI Hosting   5 use cases   AI Decision Tool

Particularly valuable for:

• Enterprise teams: Standardized workflows across departments without each user having to learn prompt engineering individually.
• Support organizations: Support staff use existing prompts and do not have to deal with prompt engineering themselves.
• Regulated industries: Centrally maintained prompts and granular permissions support compliance and data protection requirements.
• Time-critical environments: New team members can use existing prompts directly, without first having to learn prompt engineering.