Features
Multi-agent orchestration with Sisyphus, Prometheus, Atlas, Hephaestus
Ultra Work mode (ulw) for auto-planning, deep research, parallel agents, self-correction
Team Mode with up to 8 parallel agents and tmux visualization
Independent verification of all agent outputs
Session continuity via boulder.json after interruptions
3-tier MCP support (Model Context Protocol)
Background task execution
Category-based model routing (8 capability categories)
Intent gating and codebase assessment
Dynamic agent assembly per task
Skill injection for specialized capabilities (playwright, git-master, frontend, team-mode)
Parallel explore agents before code changes
Evidence-bound QA with Metis and Momus plan reviewers
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
