Features
Run multiple AI coding agents in parallel within one project
Sandboxed execution with command and file change review
Subagent delegation for breaking large refactors into subtasks
Each agent operates with its own context, prompt, and git state
Real-time progress tracking while agents work in the background
Git integration: review, test, compare, and ship desired work
Terminal-based workflow without leaving the development environment
Automatic code review and pull request generation
Auditable session logs and visible agent activity
Cross-platform support (macOS, Windows, Linux)
Complementary to existing AI tools (Cursor, Cline, Kilo, Codex, Claude, ChatGPT)
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
