desktop-agent

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#desktop-agent

@alibaba_cloud: We’re excited to integrate TinyFish’s Mako execution engine into Alibaba Cloud’s desktop agent—bringing a web-native, w…

X AI KOLs Timeline · 2d ago Cached

Alibaba Cloud integrates TinyFish's Mako execution engine into its desktop agent to deliver a web-native, workflow-trained intelligence layer for handling complex multi-step tasks with lower latency and fewer stalls.

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#desktop-agent

@tom_doerr: Autonomous desktop agent for Windows, macOS, Linux & Android https://github.com/skalesapp/skales…

X AI KOLs Timeline · 2026-06-15 Cached

Skales is a private, local AI desktop agent for Windows, macOS, Linux, and Android that performs autonomous tasks, supports multiple AI providers, and emphasizes privacy with offline capabilities.

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#desktop-agent

6 weeks daily-driving an open-source desktop agent shell with a 3-model split (Haiku triager → Sonnet reviewer → Opus executor). Real cost numbers + what broke.

Reddit r/AI_Agents · 2026-06-05

A 6-week real-world experiment using an open-source desktop agent shell with a three-model split (Haiku triager, Sonnet reviewer, Opus executor) reports a 64% cost reduction and details failure modes like context bloat and runaway sub-agents.

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#desktop-agent

@anorth_chen: Peter's article clarifies the fundamental boundary between cloud agents and desktop agents: once the agent leaves the user's computer, the problem shifts from a framework issue to an infrastructure contract. Desktop agents come with many implicit assumptions: a trusted local filesystem, trusted keys in the environment, an online user, the ability to manually retry on failure, and the ability to reinstall the environment if it breaks.

X AI KOLs Timeline · 2026-06-05 Cached

Peter's article clarifies the fundamental boundary between cloud agents and desktop agents, discussing the security, runtime, and infrastructure challenges of cloud agents operating in unsupervised, shared hardware environments, and points out that agent runtime will increasingly resemble a small OS in the future.

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#desktop-agent

I open-sourced Orkas — a local-first desktop agent where a lead agent directs a team of sub-agents (MIT, BYO keys)

Reddit r/AI_Agents · 2026-06-03

Orkas is an open-source, local-first desktop agent app where a lead agent coordinates specialized sub-agents, each with its own context boundary, using user-provided API keys from various LLM providers.

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#desktop-agent

@10xmylife: Cui Tianyi has joined DeepSeek! When I saw his blog during undergrad, I was amazed—how could someone be so talented? Looking forward to DeepSeek's products in the future.

X AI KOLs Following · 2026-05-22 Cached

Cui Tianyi (former quantitative specialist at Jane Street) joined DeepSeek in March 2025 as the head of the newly formed Harness team, developing a desktop agent product that competes with Anthropic's Claude Code.

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#desktop-agent

the accessibility tree gotchas that kept breaking my desktop agent

Reddit r/AI_Agents · 2026-05-20

A developer shares four common accessibility tree pitfalls that break desktop agents: stale PIDs after app switches, modal sheets intercepting clicks, multi-monitor coordinate issues, and silent failures. Solutions include detecting frontmost app changes, explicit modal checks, and correct coordinate targeting.

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#desktop-agent

@berryxia: Bros! Don't reinvent the wheel—just use this 31.4K-star open-source project! ByteDance has open-sourced UI-TARS-desktop. Taking a quick look, the project has been live for nearly a year! It currently has 31.4k stars, and its growth rate is quite steady. 24-hour growth...

X AI KOLs Timeline · 2026-05-10 Cached

ByteDance open-sourced UI-TARS-desktop, a native desktop GUI agent with 31.4k GitHub stars that uses vision models to control local or remote applications via natural language. The tool runs locally for privacy, supports Windows and macOS, and includes a CLI with streaming output for developers.

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#desktop-agent

andrewyng/aisuite

GitHub Trending (daily) · 2026-06-13 Cached

andrewyng/aisuite is a lightweight Python library providing a unified Chat Completions API across multiple LLM providers and an Agents API with tools. It also includes OpenCoworker, a desktop AI agent for everyday tasks.

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