somew1nd
a36a66ce6d
feat: add step-by-step visual replay and harden process lifecycle
...
- UI: Implement dual-mode playback in FloatingVideoPlayer supporting video and step-by-step frame replay with scrub controls and auto-fallback
- Runtime: Prevent asyncio event loop hangs on Darwin and Linux by avoiding psutil.wait_procs on direct child processes
- Task Queue: Add worker exit watchdog and automatic recording recovery for completed or interrupted sessions
- Recording: Add ffmpeg ultrafast transcode fallback, shield recording finalization against cancellation, and handle on-the-fly MP4 conversion
- Docs: Polish README_CN styling and streamline flash runner agent prompt
2026-08-26 00:53:24 -07:00
somew1nd
206a9ce921
feat: initial release of ARTEMIS Android Agent & Automation Platform
...
ARTEMIS is an autonomous multimodal Android agent and mobile UI automation
platform engineered for physical devices and emulators. It combines state-of-the-art
multimodal Vision-Language Models (VLMs) with hierarchical closed-loop planning,
resilient self-healing, and deep Android subsystem integration.
Key Features & Architectural Highlights:
- Dual-Engine Orchestration:
* Pro Engine: Multi-agent closed-loop (Planner -> Operator -> Validator/Failure Analyzer -> Summarizer) powered by LangGraph.
* Flash Engine: Ultra-fast reactive loop for deterministic, low-latency UI execution (<35 steps).
- Multimodal Perception & Grounding:
* Hybrid visual screenshot grounding, real-time OCR extraction, and XML accessibility hierarchy parsing.
* Dynamic-First, Coordinate-Fallback locating strategy for maximum resilience against UI drift.
- Autonomous Self-Healing & Diagnostics:
* Failure analyzer and safety net for popup dismissal, crash recovery, and auto-retry.
* Diagnostic sub-agents for log analysis, video recording inspection, and object detection.
- Unified CLI & Python SDK:
* Rich CLI with commands: init, doctor, run, trace, batch, bench, server, and mcp.
* Fluent Python SDK with Pydantic structured output models and package locking.
- Multi-Provider LLM Architecture:
* Support for Google Gemini, OpenAI, Anthropic Claude, Vertex AI, OpenRouter, xAI Grok, and local endpoints (Ollama/vLLM).
* Centralized configuration in config/artemis.jsonc.
- Native MCP & Observability:
* Model Context Protocol (MCP) server endpoints for AI IDEs.
* Full trace recording with before/after screenshots, action overlays, and execution replays.
Change-Id: I430b93ee2b76b54cc5a3c6eeccd15d2cf29830a1
2026-08-13 11:46:47 -07:00
somew1nd