Features
Parallel multi-agent orchestration for CLI coding agents
Deterministic Python scheduler (zero LLM overhead)
HMAC-chained audit log with per-entry hash references
Per-artefact transparency log with Ed25519 signatures
Git worktree isolation for each agent
Built-in verification (lint, types, tests, PII checks)
46+ CLI adapters (Claude Code, Codex, Gemini CLI, etc.)
Plugin system (Pluggy) for custom adapters and hooks
MCP server and client for tool interoperability
A2A capability cards for agent-to-agent communication
Cost guards and cost estimation per task
Secrets broker for credential management
Playwright sandbox for UI agents
Web UI and PWA (since 2.0)
Air-gap deploy and on-prem clustering
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
