Search Results for "script executor mac"
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Showing 11 open source projects for "script executor mac"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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OpenTag
Open-source @agent mentions for Slack and GitHub
OpenTag is a local-first coordination layer that turns workplace mentions into governed coding-agent runs. It connects collaboration platforms such as Slack, GitHub, GitLab, Linear, Telegram, Discord, Microsoft Teams, and Lark or Feishu to local executors. Each request becomes a bounded context packet whose permissions and executor capabilities are checked before work begins. Codex, Claude Code, or another compatible agent performs the task and returns concise results to the original thread.... -
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Short Video Factory
AI tool for automatic batch short video creation and editing
Short Video Factory is an open source desktop application designed to simplify the creation of short-form videos using AI-driven automation. It enables users to generate product marketing clips and general content videos by combining simple prompt-based input with pre-prepared media assets. Short Video Factory integrates multiple stages of video production, including script generation, voice synthesis, video editing, and subtitle effects, into a single streamlined workflow. By leveraging AI... -
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Dexter
An autonomous agent for deep financial research
Dexter is an autonomous agent tailored for deep financial research: you pose complex financial questions (for example, about a company’s revenue growth or financial ratios) and Dexter breaks them down into structured research tasks, fetches relevant real-time data (e.g. income statements, cash flows), performs analysis, and returns data-backed answers. It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch... -
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Ito
Ito, smart dictation in every application
ito is an open‑source JavaScript library for serverless, browser‑to‑browser communication designed for use on devices with or without user input interfaces, such as IoT devices, mobile devices, tablets, and desktops, enabling peer messaging and data sharing via short passcodes and cloud‑backed pairing without an application server. -
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Moltworker
Run OpenClaw on Cloudflare Workers
Moltworker is an experimental Cloudflare Workers-based project that allows users to run OpenClaw (previously known as Moltbot or Clawdbot), a self-hosted personal AI agent, within the Cloudflare Developer Platform rather than on dedicated hardware. Acting as a middleware Worker and script adaptor, moltworker packages the OpenClaw agent and its dependencies into a Cloudflare Sandbox container that can operate at scale on the global edge network, offering an always-on deployment without users... -
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Gemini Fullstack LangGraph Quickstart
Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph
gemini-fullstack-langgraph-quickstart is a fullstack reference application from Google DeepMind’s Gemini team that demonstrates how to build a research-augmented conversational AI system using LangGraph and Google Gemini models. The project features a React (Vite) frontend and a LangGraph/FastAPI backend designed to work together seamlessly for real-time research and reasoning tasks. The backend agent dynamically generates search queries based on user input, retrieves information via the... -
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Laminar
Open-source all-in-one platform for engineering AI products
Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead.... -
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Starter Applets
Google AI Studio Starter Apps
starter-applets is a collection of minimal, sandboxed example “applets” that demonstrate how to compose Gemini-powered microapps (chat widgets, image generation, workflows) that can be embedded in other applications or used standalone. The applets are structured with a focus on simplicity: each presents a prompt input, minimal UI logic, and inline display of the resulting output or widget (e.g. generated text, images). They are built to illustrate best practices (e.g. safety guards, prompt... -
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SkyAGI
SkyAGI: Emerging human-behavior simulation capability in LLM
SkyAGI is a python package that demonstrates LLM's emerging capability in simulating believable human behaviors. Specifically, SkyAGI implements the idea of Generative Agents and delivers a role-playing game that creates a very interesting user experience. Different from previous AI-based NPC systems, SkyAGI's NPC generates very believable human responses. The interesting observations in this demo show a huge potential for rethinking game development in many aspects, such as NPC script... -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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10
html2canvas
A JavaScript HTML screenshot renderer
html2canvas is a JavaScript HTML renderer. The script provides you with the tools to take screenshots of webpages directly on the browser. The screenshot is based on the DOM and therefore, it may not be 100% accurate to the real representation, given that it is not an actual screenshot, but a type of screenshot built based on the available data and information of the page. The script renders such page as a canvas image, by reading the DOM and the different styles of the featured elements. It... -
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TensorFlow.js models
Pretrained models for TensorFlow.js
This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You...
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