ИИ-агенты
google_workspace_mcp
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
★ 3,3 тыс. звёздMIT
Смотреть руководство →lamda — проект с открытым исходным кодом из категории «ИИ-агенты» от firerpa (firerpa/lamda на GitHub). У него 8 553 звезды на GitHub и 1 155 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 27 сентября 2026.
FIRERPA / LAMDA — full-stack Android device control: remote desktop, automation, MITM, Frida and MCP.
Decide your use case — device farm, automation, traffic analysis or reverse engineering — and prepare the Android devices (root is optional) you will enrol.
Clone firerpa/lamda from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Deploy the FIRERPA server on each device per the project documentation, then install the Python client library on your PC to orchestrate them.
Open the browser-based remote desktop for one device, run a simple UI automation action through the client, and confirm the fleet view sees the device.
Browser-based remote control with MJPEG and H.264 (up to 60fps), WebRTC with STUN/TURN, multi-user access, clipboard, audio and file browsing over a single port.
Selector-based automation with child/sibling chaining, UI Watchers for popups, OCR and on-device image matching, multi-touch recording and replay — plus virtual displays that run automation without disturbing the main screen.
Automatic CA install and proxy setup, per-app capture, live request/response editing and QUIC downgrade, all API-driven alongside mitmproxy-compatible tooling.
Frida is bundled with hiding patches, persistent scripts with hot reload, and RPC mapped to Python methods and HTTP JSON-RPC — no separate frida-server.
HTTP/HTTPS/SOCKS5/Shadowsocks per-app proxying, a device HTTP bridge, built-in OpenVPN and frp clients, and mDNS fleet discovery.
Distributed multi-device management with 160+ APIs, plus MCP/Agent support so AI agents can drive devices through the same platform.
Get the source from the official GitHub repository for lamda.
git clone https://github.com/firerpa/lamda.git
cd lamdaClone the repository and follow the deployment documentation for installing the FIRERPA server on your Android device.
git clone https://github.com/firerpa/lamda.git
cd lamda # then follow the deployment docs — see READMEInstall and use the Python client library per the docs to connect to a device and run your first automation call.
# Install the Python client per the project docs, connect to the device, then call the device API — see READMEfirerpa, through the firerpa/lamda repository, with the product site at device-farm.com.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
The platform itself is open source and needs no paid key; AI/MCP agent features use whatever model you connect, with your own credentials.
That stack works but means separate tools, configs and failure modes. FIRERPA positions itself as one server and one API covering automation, capture, Frida and fleet ops — built specifically for multi-device, long-running production use.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — open the browser-based remote desktop for one device, run a simple UI automation action through the client, and confirm the fleet view sees the device.
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
Self-hosted MCP gateway and control plane — connect, control and operate all your MCP servers from one place
AI full-stack engineer agent built on Next.js, Claude, and Kubernetes.
The unofficial Home Assistant MCP server — control and automate your smart home from any AI assistant.
Microsoft's Playwright-powered MCP server for browser automation.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если lamda вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к lamda — продолжайте изучать полку по обе стороны от него.
Simple workflow patterns for building effective agents on MCP.
Isaac Lab — NVIDIA's unified framework for robot learning, with 30+ environments and multi-physics simulation.
Local-first microVMs for fast, programmable sandboxes.
NVIDIA Isaac GR00T N1.7 — an open foundation model for generalist robots, ready to fine-tune and deploy.
A blazing-fast enterprise AI gateway: 1000+ models, sub-100µs overhead.
Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.