Justin Williams df5ceb5d82 feat: Linear Integration (#655)
* Add Linear integration CLI with sync and status commands

- Add `bd linear sync` for bidirectional issue sync with Linear
- Add `bd linear status` to show configuration and sync state
- Stub pull/push functions pending GraphQL client (bd-b6b.2)

* Implement Linear GraphQL client with full sync support

- Add LinearClient with auth, fetch, create, update methods
- Implement pull/push operations with Beads type mapping
- Clean up redundant comments and remove unused code

* Add configurable data mapping and dependency sync for Linear

- Add LinearMappingConfig with configurable priority/state/label/relation maps
- Import parent-child and issue relations as Beads dependencies
- Support custom workflow states via linear.state_map.* config

* Add incremental sync support for Linear integration

- Add FetchIssuesSince() method using updatedAt filter in GraphQL
- Check linear.last_sync config to enable incremental pulls
- Track sync mode (incremental vs full) in LinearPullStats

* feat(linear): implement push updates for existing Linear issues

Add FetchIssueByIdentifier method to retrieve single issues by identifier
(e.g., "TEAM-123") for timestamp comparison during push.

Update doPushToLinear to:
- Fetch Linear issue to get internal ID and UpdatedAt timestamp
- Compare timestamps: only update if local is newer
- Build update payload with title, description, priority, and state
- Call UpdateIssue for issues where local has newer changes

Closes bd-b6b.5

* Implement Linear conflict resolution strategies

- Add true conflict detection by fetching Linear timestamps via API
- Implement --prefer-linear resolution (re-import from Linear)
- Implement timestamp-based resolution (newer wins as default)
- Fix linter issues: handle resp.Body.Close() and remove unused error return

* Add Linear integration tests and documentation

- Add comprehensive unit tests for Linear mapping (priority, state, labels, relations)
- Update docs/CONFIG.md with Linear configuration reference
- Add examples/linear-workflow guide for bidirectional sync
- Remove AI section header comments from tests

* Fix Linear GraphQL filter construction and improve test coverage

- Refactor filter handling to combine team ID into main filter object
- Add test for duplicate issue relation mapping
- Add HTTP round-trip helper for testing request payload validation

* Refactor Linear queries to use shared constant and add UUID validation

- Extract linearIssuesQuery to deduplicate FetchIssues/FetchIssuesSince
- Add linearMaxPageSize constant and UUID validation with regex
- Expand test coverage for new functionality

* Refactor Linear integration into internal/linear package

- Extract types, client, and mapping logic from cmd/bd/linear.go
- Create internal/linear/ package for better code organization
- Update tests to work with new package structure

* Add linear teams command to list available teams

- Add FetchTeams GraphQL query to Linear client
- Refactor config reading to support daemon mode
- Add tests for teams listing functionality

* Refactor Linear config to use getLinearConfig helper

- Consolidate config/env var lookup using getLinearConfig function
- Add LINEAR_TEAM_ID environment variable support
- Update error messages to include env var configuration options

* Add hash ID generation and improve Linear conflict detection

- Add configurable hash ID mode for Linear imports (matches bd/Jira)
- Improve conflict detection with content hash comparison
- Enhance conflict resolution with skip/force update tracking

* Fix test for updated doPushToLinear signature

- Add missing skipUpdateIDs parameter to test call
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bd - Beads

Distributed, git-backed graph issue tracker for AI agents.

License Go Report Card Release npm version PyPI

Beads provides a persistent, structured memory for coding agents. It replaces messy markdown plans with a dependency-aware graph, allowing agents to handle long-horizon tasks without losing context.

Quick Start

# Install (macOS/Linux)
curl -fsSL https://raw.githubusercontent.com/steveyegge/beads/main/scripts/install.sh | bash

# Initialize (Humans run this once)
bd init

# Tell your agent
echo "Use 'bd' for task tracking" >> AGENTS.md

🛠 Features

  • Git as Database: Issues stored as JSONL in .beads/. Versioned, branched, and merged like code.
  • Agent-Optimized: JSON output, dependency tracking, and auto-ready task detection.
  • Zero Conflict: Hash-based IDs (bd-a1b2) prevent merge collisions in multi-agent/multi-branch workflows.
  • Invisible Infrastructure: SQLite local cache for speed; background daemon for auto-sync.
  • Compaction: Semantic "memory decay" summarizes old closed tasks to save context window.

📖 Essential Commands

Command Action
bd ready List tasks with no open blockers.
bd create "Title" -p 0 Create a P0 task.
bd dep add <child> <parent> Link tasks (blocks, related, parent-child).
bd show <id> View task details and audit trail.
bd quickstart Interactive guide for AI agents.

🔗 Hierarchy & Workflow

Beads supports hierarchical IDs for epics:

  • bd-a3f8 (Epic)
  • bd-a3f8.1 (Task)
  • bd-a3f8.1.1 (Sub-task)

Stealth Mode: Run bd init --stealth to use Beads locally without committing files to the main repo. Perfect for personal use on shared projects.

📦 Installation

  • npm: npm install -g @beads/bd
  • Homebrew: brew install steveyegge/beads/bd
  • Go: go install github.com/steveyegge/beads/cmd/bd@latest

Requirements: Linux (glibc 2.32+), macOS, or Windows.

🌐 Community Tools

  • beads_viewer - Keyboard-driven terminal UI with kanban board, insights panel, and graph view. Built by @Dicklesworthstone.
  • beads.el - Emacs UI to browse, edit, and manage beads. Built by @ctietze.
  • beads-ui - Local web interface with live updates and kanban board. npx beads-ui start. Built by @mantoni.
  • bdui - Real-time terminal UI with tree view, dependency graph, and vim-style navigation. Built by @assimelha.
  • perles - Terminal UI with BQL (Beads Query Language) and multi-view kanban. Built by @zjrosen.
  • vscode-beads - VS Code extension with issues panel and daemon management. Built by @jdillon.

📝 Documentation

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