Create as many agents as you want, each with its own name, identity, and workspace folder. ·Per-agent settings for engine, model, capabilities, channels, skills, voice, active hours, and language. ·Every agent runs sandboxed, with its own files kept separate from the others. ·Live status for each agent — idle, thinking, awaiting approval, or error. ·Delete an agent and everything it owns in a single action. ·Pick an engine per agent: Pi (built-in), Claude Code CLI, or Codex CLI. ·With a coding-agent engine the model is your CLI account; with Pi, choose any provider and model. ·Cloud providers: Anthropic, OpenAI, Google Gemini, xAI (Grok), Groq, DeepSeek, Mistral, OpenRouter, Together, Fireworks, Cerebras. ·Separate model tiers for the main agent, the public/DM agent, subagents, and a secondary model. ·Override the model for a single session from a quick picker. ·Multiple Claude Code / Codex accounts per agent — they auto-rotate when one hits a usage limit, and fall back to the other CLI mid-task. ·Install Claude Code or Codex from inside the app, with a guided login. ·Run entirely on your machine via Ollama, LM Studio, or Jan — no cloud calls. ·Local servers are auto-detected while running and their models registered automatically. ·Auto-launch a local app (hidden in the background, or visible) when an agent needs it. ·Point at custom base URLs for your local servers. ·Signal, iMessage, WhatsApp, Telegram, Slack, and Discord. ·Signal and iMessage run on your own device, with no middleman. ·Read and reply to DMs, and send from the agent's own identity. ·Social inboxes via Overblast: Instagram, X, TikTok, Facebook, LinkedIn, YouTube, Threads, Reddit, Pinterest, Bluesky, Snapchat, Google Business. ·An email inbox the agent sends and replies from. ·A web-chat widget for your site, and agentic phone calls. ·Connect a workspace once and reuse a saved key across agents. ·Per-channel auto-reply, toggled independently. ·An active-hours window so agents only run when you want them to. ·Outgoing quarantine — review and approve messages before they send. ·Group-chat engagement controls. ·A warning before enabling a channel already used elsewhere, to avoid double replies. ·An isolated, sandboxed public agent handles strangers, kept away from your private workspace. ·Per-thread file isolation for every inbound conversation. ·Reply quarantine for untrusted contacts. ·Tool execution is sandboxed, and secret values are scrubbed from the environment. ·Every remote request is signed with the device's own key — nothing bearer-token-like to steal. ·Local-first: run everything on a local model and nothing leaves your machine. ·No account required, and no telemetry unless you turn it on. ·Your data lives in a folder on your machine (~/Documents/00). ·Provider requests go directly from your machine using your own keys. ·Encrypted vault (AES-256-GCM) for API keys and channel tokens. ·Write-only — agents can see key names, never their values. ·Per-agent secret overrides, so one agent can bill a separate account. ·Bulk-import keys from a pasted .env file. ·Agents can request a key from you securely, entered outside the chat. ·Open the engine to your Wi-Fi and control it from any browser or phone — no app needed on the other device. ·Explicit pairing for every device: compare an 8-digit code and accept; nothing connects silently. ·Decide per device which agents it can see and use. ·Pairing requests surface at the Mac's notch and in the engine log, with accept/reject in place. ·HTTPS on the LAN so meeting capture works from another device's browser. ·Pairing floods are rate-limited per-IP and globally; stale requests expire on their own. ·Link engines on your network as peers — their agents join your list, tagged with their host. ·Chat, dispatch, and the notch drive remote agents exactly like local ones. ·Share a single agent with a URL you can paste on another machine. ·Remote agents are told who is driving them — operator name, hub, network, and timezone. ·The host machine always decides which of its agents each peer or device gets. ·The same engine runs headless on Linux, Windows, and servers — install with one command. ·An auto-start service (launchd, systemd, or a Windows task) with install/start/stop/status from the CLI. ·Create and run agents from the shell — the current folder becomes the agent's working folder. ·Scaffold a project folder (TODOS.md, ACTIONS.json, files/) with one command. ·Approve device pairings and open/close LAN access from the terminal. ·One-command self-update to the latest build. ·Dispatch a command to any agent from the top of your screen (⌃⌥Space). ·Replies play as a teleprompter; long ones expand and scroll. ·Approve or reject outgoing messages right at the notch, with the destination shown. ·Agent questions render as interactive cards — answer with the 1–9 keys. ·Files an agent shares arrive as a quiet pill that expands into thumbnails with a reply box. ·Voice messages with live level feedback, transcribed in the agent's language. ·Live activity while an agent works: tools, subagent count, and todo progress. ·A recording dot while a meeting is being captured. ·A curated library across SEO, content, email, growth, sales, ads, analytics, and automation. ·Install a skill into any agent in one click; required keys are prompted up front. ·Ask an agent to create its own skill — it writes a SKILL.md in its workspace. ·Browse a skill's files and export or download it for other agent tools. ·Speech-to-text via Mistral Voxtral, Deepgram, ElevenLabs, or OpenAI. ·Text-to-speech via ElevenLabs or OpenAI. ·A realtime voice mode for back-and-forth conversation. ·Choose a voice per agent. ·Record a window or tab's audio into an agent as a live meeting. ·Automatic transcription streamed into the agent as it happens. ·Run multiple meetings at once, each with its own log. ·Capture from another device's browser over the LAN (HTTPS). ·Run agents on a cron — daily briefings, recurring jobs, timed follow-ups. ·One-time scheduled runs. ·Dispatch one command to many agents at once, each running it as its own task. ·Subagents: an agent spawns focused helpers for parts of a task. ·Team members, so agents know who they're talking to. ·Per-agent capabilities and explicit tool grants. ·Cross-channel contact profiles, built quietly in the background. ·A private per-conversation memory that grows over time. ·A day-by-day timeline of each agent's activity. ·Session history you can revisit any time — every session streams live, even ones started elsewhere. ·Custom pixel-art faces — generated deterministically or drawn by a model. ·Per-agent colour, emoji, and display name. ·A language per agent. ·An active-hours schedule per agent. ·Sandboxed file tools: read, write, edit, list, grep, find. ·Shell tools for the trusted main agent, with vault keys available in its environment. ·Browser tools for web tasks. ·A configurable working folder per agent that holds its TODOs and actions. ·Image generation (fal.ai). ·Web search (Tavily, Exa). ·Marketing tools for common go-to-market work. ·A native macOS app with a self-contained runtime — nothing else to install. ·A bundled engine, so it runs offline for local models. ·Real-time updates everywhere over WebSocket — status, replies, approvals, activity. ·Keep-awake and power controls while agents are working. ·A self-hosted update check that flags new versions — you choose when to download. ·