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Oh My Android

Appears in 7 awesome lists

Native macOS control panel for the Android Emulator (dark mode, font scale, locale, TalkBack, network throttling, GPS mock, Layout Inspector in dp) with a built-in stdio MCP server (18 tools) that lets Claude Code, Codex, Cursor, and VS Code see and drive the emulator. Gives mobile coding agents a…

Open github.comateymoori/oh-my-android

Found in these lists

Awesome Gemini CLI

Section: MCP Servers · MCP server that lets Gemini CLI see and drive the Android Emulator on macOS: screenshots, UI tree in dp, tap/type, dark mode, RTL, font scale, logcat. Free, MIT, native macOS app (macOS 26+, Apple silicon) with a built-in stdio server. Install: gemini mcp add --scope user oh-my-android…

FreshScore 88

Awesome Harness Engineering

Section: Skills & MCP · Native macOS control panel for the Android Emulator (dark mode, font scale, locale, TalkBack, network throttling, GPS mock, Layout Inspector in dp) with a built-in stdio MCP server (18 tools) that lets Claude Code, Codex, Cursor, and VS Code see and drive the emulator. Gives mobile coding agents a…

FreshScore 93

Awesome Open Source AI

Section: 4. Agentic AI & Multi-Agent Systems · Native macOS control panel for the Android Emulator and real devices with a built-in stdio MCP server (18 tools) that lets Claude Code, Codex, Cursor and VS Code see and drive the emulator. MIT licensed.

FreshScore 88

Awesome Swift

Section: Misc · A macOS control panel for the Android Emulator with one-click toggles and a built-in MCP server for AI agents.

FreshScore 98

Awesome open-source Swift macOS Apps

Section: Other Development · One-click control panel for the Android Emulator: dark mode, RTL, TalkBack, GPS, and more.

FreshScore 86

Awesome Testing

Section: Accessibility & Usability Testing · Free, open-source macOS app for checking Android apps on emulators and phones in dark mode, large font sizes, RTL and TalkBack, with a TalkBack-order accessibility audit.

FreshScore 92

Open Source Mac Os Apps

Section: Development (62) · Native control panel for the Android Emulator on macOS with ~48 one-click actions, Layout Inspector in dp, and TalkBack audit.

FreshScore 96

LangChain

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

In 22 listsDetails

mem0

The most-deployed memory layer for AI agents — drop-in add/search/update/delete fact storage with LLM-extracted long-term / short-term / semantic memory: automatic fact consolidation (dedup, contradiction resolution, decay) so agents keep "context that persists" without context bloat;…

In 14 listsDetails

Dify

February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…

In 14 listsDetails

PydanticAI

June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…

In 13 listsDetails

anthropics/skills

by Anthropic - Anthropic's official repository for Agent Skills — the SKILL.md format, a skill template, and example skills, the same format Claude Code loads natively.

In 12 listsDetails

AutoGen

Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.

In 14 listsDetails

browser-use

Open-source browser agent (Python and TypeScript) whose loop injects serialized DOM state each step, exposes browser actions as registered tools, and runs the same code against a local Chrome or a cloud browser. It has grown from a minimal reference into a full framework (~70k lines of Python…

In 11 listsDetails

DSPy

(MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.

In 11 listsDetails