AI-powered GitHub issue triage dashboard with parallel agent tooling for isolated worktree development.
GitHubIssueTriager is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view coleam00/GitHubIssueTriager --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
This tool automatically classifies, embeds, and plans implementation for GitHub issues using AI. It also provides scripts to create isolated development environments using git worktrees and Neon database branches, enabling multiple AI coding agents to work in parallel without conflicts.
GitHubIssueTriager is a full-stack application built with Next.js 15, React 19, Neon Postgres with pgvector, and the OpenAI SDK. It syncs issues from any GitHub repository, classifies them by category, priority, and complexity, generates embeddings for cosine-similarity search, and creates implementation plans on demand. The app includes a rule-based fallback classifier and deterministic hash embedding for offline use. Beyond the core triage functionality, the repository provides a parallel-agent toolkit that automates git worktree creation, provisions isolated Neon database branches, assigns collision-free development ports, and orchestrates multi-agent workflows where planning, implementation, and review are handled by separate AI sessions. This architecture catches more bugs by preventing context sharing between agents. The toolkit is self-contained in shell scripts and slash commands, making it easy to port to other projects.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 96 days ago.
24 GitHub stars indicate community interest.
10 open issues signal maintenance load.
No license detected; review before production use.
Automatically triage incoming GitHub issues by classifying them and generating implementation plans.
Run multiple AI coding agents in parallel on different features using isolated worktrees and database branches.
Set up a CI/CD pipeline that validates issue triage and plan generation before merging.
Use the parallel-agent toolkit to incorporate multi-agent review workflows into any project.
Quickly spin up a development environment for a specific issue with one command.
The tool uses OpenAI API; ensure API keys are stored securely and not exposed in code.
Database credentials in .env files should be kept secret and never committed.
Parallel agent workflows may consume significant API credits if not monitored.
24
Stars
14
Forks
10
Issues
A CLI tool to create and hide GitHub comments using the GitHub REST API.
AI-powered GitHub automation for issue triage, PR review, labeling, and security scanning.
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
AI-powered GitHub issue triage dashboard with parallel agent tooling for isolated worktree development.
Open-source maintainers who want to automate issue triage and planning., Developers experimenting with multi-agent AI coding workflows., Teams using Claude Code or similar agents who need isolated parallel development environments.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
The tool uses OpenAI API; ensure API keys are stored securely and not exposed in code. Database credentials in .env files should be kept secret and never committed.
Similar or complementary options to evaluate include github-comment, aptu, Agent-CI.
Jun 7, 2026
3 security/trust notes recorded.
Setup difficulty is 3/5.