Features

Tool Calling

The agent reads files, writes code, executes shell commands, runs code in 6 languages, searches your codebase with ripgrep, manages git, generates images and video, searches the web, and spawns up to 6 sub-agents for parallel research.

Permission System

Three-tier safety model. Whitelisted tools (read, search, generate) execute instantly. Graylisted tools (write, execute, delete) show an approval modal. Blacklisted operations (rm -rf /, /dev access, fork bombs) are hard-blocked — no override possible.

Memory & Knowledge

Persistent memory saves facts across sessions (global + per-session scopes). A SQLite-backed knowledge store indexes conversations by category and project. The agent builds context over time — it remembers what you've worked on.

Profiles & Skills

Create agent profiles with custom system prompts, model selection, tool presets, voice configuration, daily budgets, and linked document collections. Switch between a coding assistant, writing partner, and research agent in one click.

Mission Control

Visual multi-agent orchestration. Describe a goal, the AI architect plans a task DAG, you review and edit in a canvas editor, then execute with up to 8 parallel workers. Each mission gets its own git branch with auto-checkpoints.

• Architect mode or direct CSV/JSON import
• Per-task model assignment (xAI, Anthropic, OpenAI, Google, DeepSeek)
• Drag-and-drop visual DAG with connection ports
• Real-time cost tracking and pause/cancel

Workspace

Split-screen dual-agent mode. The planning agent (left) has read-only tools and designs the approach. The execution agent (right) has full access and implements the plan. A shared task board coordinates between them.

• Planning agent: restricted tools, approach design
• Execution agent: full tool access, implementation
• Context handoff with Cmd+Shift+Right
• Adjustable split ratio