Features
25 unified commands for AI coding workflows
7 domain-specific reference libraries
Persistent memory layer across sessions
Full audit trail of AI actions
Supports 10+ AI coding editors
Command customization and aliasing
Seamless context handoff between editors
Project-level memory and preferences
Shared team workflow templates
Real-time sync across devices
Version control integration for audit logs
Offline mode with local caching
Command suggestions based on context
Export audit trails for compliance
Multi-language support for commands
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
