56a379dc5a
- New gh2jsonl.py script supports GitHub API and JSON file import - Maps GitHub labels to bd priority/type/status - Preserves metadata, assignees, timestamps, external refs - Auto-detects cross-references and creates dependencies - Production-ready: User-Agent, rate limit handling, UTF-8 support - Comprehensive README with examples and troubleshooting - Tested and reviewed Amp-Thread-ID: https://ampcode.com/threads/T-2fc85f05-302b-4fc9-8cac-63ac0e03c9af Co-authored-by: Amp <amp@ampcode.com>
Beads Examples
This directory contains examples of how to integrate bd with AI agents and workflows.
Examples
- python-agent/ - Simple Python agent that discovers ready work and completes tasks
- bash-agent/ - Bash script showing the full agent workflow
- markdown-to-jsonl/ - Convert markdown planning docs to bd issues
- github-import/ - Import issues from GitHub repositories
- git-hooks/ - Pre-configured git hooks for automatic export/import
- branch-merge/ - Branch merge workflow with collision resolution
- claude-desktop-mcp/ - MCP server for Claude Desktop integration
Quick Start
# Try the Python agent example
cd python-agent
python agent.py
# Try the bash agent example
cd bash-agent
./agent.sh
# Install git hooks
cd git-hooks
./install.sh
# Try branch merge collision resolution
cd branch-merge
./demo.sh
Creating Your Own Agent
The basic agent workflow:
- Find ready work:
bd ready --json --limit 1 - Claim the task:
bd update <id> --status in_progress --json - Do the work: Execute the task
- Discover new issues:
bd create "Found bug" --json - Link discoveries:
bd dep add <new-id> <parent-id> --type discovered-from - Complete the task:
bd close <id> --reason "Done" --json
All commands support --json for easy parsing.