Features
Launch multiple AI coding agents side by side (Claude Code, Codex CLI, Gemini CLI, etc.)
API Bridge to switch model providers without per-agent config changes
Remote session control from messaging apps (Telegram, Slack, Discord, WeChat, DingTalk)
Web Hub for browser-based agent management and previews
Web Terminal with PTY/tmux sessions and authenticated dev-server previews
Session handover: continue work from phone, messaging, or desktop seamlessly
Agent profile launcher: save and run profiles with specific agents and models
Local-first architecture with opt-in tunnels for remote access
CLI interface with 'va serve', 'va tui', and 'va launch' commands
Support for first-party and OpenAI-compatible API endpoints
Desktop app for macOS (Apple Silicon), Windows (x64), Linux (x64)
npm CLI package for terminal-first workflows
Unified workspace for coordinating agents and sessions
Agent teams with three modes (side by side, team, etc.)
Open source (source, issues, and release notes on GitHub)
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
