Agentic AI for your Mac Desktop
One app. Any AI. Total command over your Mac. Build apps, write code, manage files, drive any application, and automate workflows — all through natural language. 100% native Swift. Compatible with macOS 26.4.1 and later.
An open-source replacement for Claude Code, Cursor, and OpenClaw — built from original IP, not 65 NPM packages.
Drive any Mac app through natural language. Click, type, scroll, and navigate — powered by the Accessibility API. No AppleScript required.
Surgical string-replace edits, one-click Time-Machine-style rollback, portable JSONL repo-maps, and self-verifying tasks with evidence-backed completion.
Build, run, analyze, and ship. Fix errors, manage project files, bump versions, and commit — all from a single request.
Custom Agents in Swift, shell as user or root, AppleScript, JXA, ScriptingBridge, Safari automation, and event hooks. No limits.
On-device tool-calling agent — not just a text generator. Intent parsing, context compaction, triage, and task summaries. Private, free, zero API tokens.
Extend Agent! with Model Context Protocol servers for databases, APIs, and tools. Sub-agents fan out work in parallel — up to 6 researchers.
Real sessions, real output — captured straight from Agent! at work.
Paired with any compatible LLM, Agent! reads your codebase, fixes the bug, builds the Xcode project, and commits the diff. Here it codes a Tic-Tac-Toe game in Swift, end to end.
Say "bump version" and Agent! reads the current version, updates project settings, builds to verify, and commits the change. No manual plist editing, no missed build numbers.
When a request is ambiguous, Agent! pauses and asks. No silently picking the wrong path — you stay in control with a quick prompt and a Send or Skip.
Agent! independently found and fixed a routing bug in its own accessibility code that Claude Code missed across several reviews. When Claude Code reviewed the fix, it confirmed the patch was correct.
Ticky Tacky is a neon tic-tac-toe with vs Bot and 2 Player modes, three difficulty levels, persistent scores, and zero dependencies — pure HTML, CSS, and JavaScript. Built by Agent! in a single session.
Play Ticky Tacky
What independent reviewers are saying about Agent!
"What sets it apart from the alternatives is its deep integration with 21 LLM providers, including OpenAI, Claude and many others, letting you use them for all kinds of tasks. The project is written in Swift 6.2 and uses SwiftUI, which points to good performance and native support." (translated from Russian)Read the full review
"After reading the README end to end, my reaction was: this thing was built for my use case. The positioning isn't 'a coding agent that can also use your computer' — it's 'an agent that can drive your entire Mac, and happens to be very good at code.'"Read the full review
"The pitch centers on a self-verifying task loop: reading a codebase, fixing bugs, building Xcode projects, handling git, and driving other Mac applications through the Accessibility API. Shell commands, voice control and operation over iMessage are part of the same package."Read the full report
"The material thoroughly addresses nontechnical and technical users and covers cloud and local models, voice, remote control, desktop automation, and coding scenarios. Apple Silicon, macOS 26.4.1+, memory requirements, signing choices, and helper limitations make environment fit especially clear."Read the full review
"This is a more specific design than most agent harnesses document, and the read-before-edit gate in particular is the kind of constraint that prevents the classic failure where an agent overwrites a file it only half-remembered."Read the full review
"AgentiLoop/Agent (⭐ High Engagement): A mac-native agent harness that wires up 18+ LLM providers to the macOS desktop, showing how developers are bypassing Apple's restrictions to create agentic workflows." … "Agentic frameworks like AgentiLoop mark a definitive end to the era of cloud-only AI dependency."Read the full article
"Agent! 1.0.99 and 1.1.1 addressed the problem in stages. Their useful contribution is simple: shortening context should not destroy the route back to evidence. Active context holds a small index. Disk holds the large result. Tokens are spent again only when the agent reopens a particular item."Read the full review
"Choose this project if you want a native macOS agent built in Swift and you need direct desktop automation rather than a web-first or Node-based agent stack. It is a good fit when your workflows depend on AppleScript, Accessibility, Safari control, or MCP-style tooling."Read the full profile
"18 LLM providers packed into one native macOS app: from local Ollama/vLLM to cloud Claude/GPT/Gemini, they're all here, plus on-device Apple Intelligence. It gets work done by driving the desktop directly through Accessibility + AppleScript. The gotcha: without a Team ID, ./build.sh produces an ad-hoc signature and SMAppService can't register the helper. 586 stars." (translated from Chinese)Read the post on X
A live, always-current feed of what people are posting about AgentiLoop and Agent! on X.
Open the search feed on XAgent! is the only Mac AI agent that uses on-device Apple Intelligence as a tool-calling agent rather than just a text generator. Everything below runs on your Mac, never leaves the device, and consumes zero API tokens.
After a task wraps up, Apple Intelligence reads the outcome on-device and suggests the logical next move in one sentence — "commit and push", "run the tests", or nothing at all if there's no obvious follow-up. No cloud round-trip, no tokens spent.
Long tasks past ~30,000 tokens get their older turns summarized on-device — keeping file paths, function names, errors, and key results — slashing input tokens and cost for the rest of the task.
Small talk and direct commands like "list agents" or "run agent FooBar" are handled locally with no round-trip to the cloud LLM — results land in your activity log within a second, marked 🍎.
After every completed task, Apple Intelligence writes a one-sentence summary. When a tool fails, it translates the error into plain English so you never read a raw stack trace.
Cloud APIs or local models. Your keys, your machine, your data. No vendor lock-in.
Brew it or download it, pick your AI. Agent! sets up everything else automatically.
xcode-select --installbrew install --cask agentiloop-agentRecommended pairings — Commercial: Claude Fable 5.1 · Cloud: GLM 5.3 · Local: Qwen 3.8
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