agent-browser is a native Rust CLI tool designed for browser automation specifically tailored for AI agent workflows. It employs a client-daemon architecture where the Rust daemon manages persistent browser sessions via Chrome DevTools Protocol (CDP) or WebDriver, while the CLI provides command-line interface for controlling browsers. The system includes a Next.js dashboard for manual session monitoring and control, an MCP server for standardized AI agent tool integration, and a skills system for sharing and discovering agent workflows. Key features include snapshot-ref-act workflows for interactive element manipulation, secure credential vaults, provider integrations (Browserbase, Browserless, etc.), AI chat panels via Vercel AI Gateway, and extensive observability capabilities. The project emphasizes security through content boundaries, domain allowlists, and action policies, making it suitable for production AI agent deployments.
PPTAgent is an agentic PowerPoint generation system designed for integration with AI coding agents (Claude Code, Codex, OpenCode). It creates editable PowerPoint presentations from text briefs through a workflow involving HTML slide authoring, rendering, visual review (either multimodal or via external visual models), and PPTX export. The system features a dual-codepath architecture: 'deeppresenter/' as the current runtime with CLI, multi-agent orchestration, and MCP tool integration, and 'pptagent/' as the legacy core generation library still used for the MCP server entrypoint. Key capabilities include template-driven slide generation, visual quality validation, context management to prevent overflow, and support for optional document processing (MinerU) and search APIs. The skill-based architecture allows coding agents to invoke presentation generation as a tool while maintaining editable source artifacts.
This repository provides a lightweight CLI tool (`vision.js`) that enables text-only AI models (like Claude Code without native vision) to 'see' images by converting them to text via an external vision API. The core script reads images from local files, URLs, or the system clipboard (via platform-specific helpers for macOS and Windows), encodes them as base64, and sends them to any OpenAI-compatible vision API (defaulting to Alibaba Cloud's DashScope). It features automatic clipboard fallback, configurable API credentials via environment variables, and clear error handling. The repo also includes documentation files (`AGENTS.md`, `CLAUDE.md`, `SKILL.md`) that instruct AI agents on when and how to invoke the script, plus integration instructions for the cyberboss chatbot framework. It is a practical, well-structured utility that solves a common limitation of text-only AI models.