가입 후 초대 링크를 공유하면 동영상 재생 및 초대 보상을 받을 수 있습니다.

Sumanth
@Sumanth_077
Simplifying LLMs, Machine Learning & AI Agents for you! • Building • Shipping Open Source AI Apps
가입 July 2021
871 팔로잉 중    76.7K
Andrew Ng open-sourced an AI coworker! OpenWorker is a desktop app that delivers finished work, not just chat. You describe the outcome you want - a customer brief, a triaged inbox, a calendar update, a release status across Jira and GitHub - and it works across your files, terminal, and connected apps to produce the actual deliverable. The design principle: it reads freely but writes only after you approve. Before anything consequential - sending a message, making a calendar change, running a shell command - it pauses and shows you exactly what it's about to do. Unattended scheduled runs park approval-needed actions in an inbox rather than acting on their own. 25+ integrations out of the box: GitHub, Slack, Jira, Notion, Linear, HubSpot, Gmail, Google Calendar, Outlook, monday, and your terminal and local files. Any MCP tool plugs in too. Works from Slack directly. Mention @ OpenWorker in a channel, the work happens on your desktop with your tools, and the answer comes back as a thread reply. Bring your own model. OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, Qwen, MiniMax, Mistral, Grok, and fully local via Ollama. Everything runs on your machine with your own API keys. Built on aisuite, Andrew Ng's own unified LLM provider library. Currently in open beta on macOS and Windows. Key capabilities: • Delivers finished deliverables: documents, reports, Slack replies, updated calendars • Approval-gated writes, sends, and shell commands • 25+ integrations including GitHub, Slack, Jira, Notion, Gmail, and MCP tools • Scheduled automations for recurring work • Works from Slack via @ OpenWorker mention • Bring your own model: any provider or fully local via Ollama • Local-first: everything runs on your machine OpenWorker shows what happens when you get the loop right. Define the goal, the agent executes autonomously, approval gates control what runs. That's loop engineering in practice. Wrote a full breakdown on how to design loops you can actually trust to run without you. I've shared the link to the Github Repo in the replies!
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