Features
YAML-defined multi-step DAG workflows with loops, gates, conditions
Parallel execution using isolated git worktrees
Dispatch from terminal, Slack, Telegram, GitHub comments, web UI
Multi-provider AI support: Claude Code SDK, Codex SDK
Switch AI provider per workflow or per node
One-command install via curl, brew, or Docker
Portable YAML workflow patterns, shareable across team
Cross-platform: Linux, macOS, Windows
Built-in marketplace for pre-built workflows (coming soon)
Free and open-source under MIT license
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
