chenmingxuan
fac4ccb760
feat: prepare 2.2.0 with UI and execution fixes
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Add dark theme, richer Markdown and readable plugin results.
Improve Android input evidence, response integrity and diagnostics.
Unify lifecycle, guidance receipts and evidence sources across clients.
Keep direct action dispatch without an added AI quota approval layer.
Align version metadata at 2.2.0 and bundle Helper 1.2.2.
Validation: 3063 backend tests before the version bump; 44 after.
Frontend: 317 tests and production build passed.
2026-10-26 00:44:13 +08:00
somew1nd
cbe8f4f0c6
feat: harden agent verification and runtime contracts
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Introduce two-gate checker settlement, explicit graph visibility and checkpoints, structured LLM reliability, centralized action specifications, and corresponding tests and design documentation.
2026-08-31 20:42:24 -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