somew1nd
5f1ee18bc1
feat(core): consolidate config hub, unify daemon scheduling across all entrypoints, and fix step replay
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- Unified configuration and paths under artemis.config as single source of truth
- Consolidated execution across CLI, SDK, MCP, and Admin Console to default to Artemis Daemon
- Fixed frontend step replay to preserve failure steps with proper sequential numbering
- Implemented task deduplication, debouncing, and multi-device lock isolation
- Added comprehensive end-to-end multi-port integration tests for live phone and emulator
2026-08-27 10:21:40 -07:00
somew1nd
0f5fb1d32c
Improve task resilience and LLM retry visibility
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Persist and publish recoverable provider retries so temporary 503 and throttling events remain visible in live and historical task streams.
Aggregate repeated retries into an expandable action card, preserve terminal pause recovery, harden Windows worker isolation and output forwarding, and retain reliable Android hierarchy fallbacks with regression coverage.
2026-08-20 00:37:53 -07:00
somew1nd
9a5aaf99b7
feat: introduce MCP server, cross-platform runtime, and Showcase UI reorganization
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- Showcase UI Reorganization:
* Move web UI dashboard from root directory into apps/showcase_ui/ for cleaner project structure
* Add 'artemis ui' CLI command (artemis/interfaces/cli/commands/ui.py) and launcher scripts for the interactive showcase console
- Standalone MCP Server & Notifiers (mcp_server/):
* Implement dedicated MCP server package with mobile automation tools (device_state, inspect_trace, task_manager, task_runner)
* Add multi-channel notifiers (AgentAPI, Desktop notifications, Webhooks, File output, and Composite routing)
* Introduce background task runner and trace store for autonomous mobile execution monitoring
- Cross-Platform Runtime & Toolchain Support:
* Add artemis/platform/ with OS-specific implementations for Linux, macOS (Darwin), and Windows
* Add artemis/runtime/supervisor.py for resilient process and agent runtime supervision
* Add artemis/toolchain/ with dependency resolution and SDK descriptors
* Add cross-platform launcher scripts (start.sh, start.bat) and installer scripts (scripts/install_deps.*)
- Core Enhancements & Diagnostics:
* Enhance coordinate normalization, OCR API fallback, and perception pipeline
* Add credential validation (credentials_validator.py) and system diagnostics
* Update bilingual documentation (README.md, README_CN.md) and architecture diagrams
- Test Suite Expansion:
* Add integration tests for cloud gateway, remote ADB, and Artemis login
* Add unit tests covering core diagnostics, platform detection, toolchain, credentials validator, optional OCR, and MCP tools
2026-08-18 13:59:27 -07:00
somew1nd
206a9ce921
feat: initial release of ARTEMIS Android Agent & Automation Platform
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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