How TriliumNext Revitalized an Abandoned Open Source Project with Dosu's Help

This case study examines how TriliumNext successfully revived Trilium Notes—a hierarchical note-taking application—after its original creator placed it in maintenance mode, and how AI-powered tooling helped the small team manage the growing project effectively.

The Backstory: From Abandonment to Revival

Trilium Notes was created by Zadam, attracting over 22,000 GitHub stars through features including hierarchical organization, scripting capabilities, and self-hosting options. After two years of development, the original creator announced a transition to maintenance mode.

Elian Doran, TriliumNext's lead maintainer, expressed his reaction: "After two years of using it, I was disappointed it was going into maintenance with no regular updates. So I said, okay, let's do something about it."

The Fork and Repository Recovery

In January 2024, Doran led a community effort to fork the project as TriliumNext. The fork accumulated 2.7k stars, but the team pursued an ambitious goal: reuniting with the original 22,000-star repository.

Through persistent outreach—including searching commit histories for the creator's email addresses—they eventually made contact. Zadam agreed to transfer the repository after nearly a year of attempts, having been occupied with major life changes. The consolidated repository now boasts 30.2k stars.

Dosu's Impact on Development Workflow

The team discovered Dosu while observing its implementation on the LangChain repository. Jon Fuller, handling DevOps and security, observed: "I saw it on LangChain... I was like, holy shit. This bot isn't useless..."

Three Key Benefits

1. Stress Reduction and Burnout Prevention

Fuller described the psychological impact: "If you wake up to 20 new issues, you'll want to avoid your browser. But seeing one with nineteen closed feels manageable."

This addresses a critical open source challenge. Zadam explained his own maintenance mode: "He said he'd release library updates constantly. He never did. When Elian spoke to him, he said he didn't want to face all those issues."

2. Quality Through Context

Doran highlighted Dosu's contextual capabilities: "It finds old issues and includes context. It uses issues opened a year ago that I completely forgot about."

The team leveraged this by having Dosu process 887 historical issues to identify duplicates and improve organization.

3. Community Engagement

Surprisingly, community members began treating Dosu as a team member. Doran noted: "Two or three people interact with the bot, asking how to proceed. The answers are actually pretty good."

Technical Implementation

TriliumNext utilizes Dosu for:

• Automated issue and pull request labeling
• Cross-temporal duplicate detection
• Documentation gap identification
• Multi-language issue support
• PR size labeling

Lessons for Open Source

The TriliumNext story demonstrates:

Persistence in Community Building: The methodical search through commit histories exemplifies how determination overcomes obstacles.

AI as Enhancement: Dosu augments human capabilities rather than replacing them, freeing maintainers for strategic work.

Mental Health Matters: AI tools addressing issue management overwhelm help prevent burnout-driven project abandonment.

Looking Forward

Doran concluded: "It gives me more time to work on features and honestly reduces stress. Seeing duplicate bugs solved overnight by Dosu while I sleep is truly something."

The consolidated TriliumNext repository now welcomes contributors interested in advancing personal knowledge management tools. Organizations seeking Dosu implementation can explore options on their website or Discord community.