{"repo":"AbuZar-Ansarii/PocketStrike-AI","free":true,"listed":false,"github":"https://github.com/AbuZar-Ansarii/PocketStrike-AI","clone":"git clone https://github.com/AbuZar-Ansarii/PocketStrike-AI.git","description":"Turn Android Termux into an autonomous AI agent and security orchestrator. Powered by a local ReAct framework with 50 system tools and MCP support, a background task │ scheduler, on-device ADB controls, and a unified Web UI & Telegram Bot.","language":"Python","stars":59,"topics":["ai","ai-agent","ai-agents","ai-coding","ai-safety","ai-tools","automation","artificial-intelligence","data-science","machine-learning"],"license":"MIT","category":"ai-agents","readme_excerpt":"🧠 AI Agent that gives Termux a Brain PocketStrike AI is a highly optimized, fully featured super lightweight AI agent core designed to bridge high-level reasoning with low-level Android/Linux device APIs. It is built to turn Termux into an autonomous system operator without bogging down your mobile device. It couples a gorgeous, responsive, glassmorphic chat interface with an advanced ReAct (Reasoning and Action) Function Calling Framework and native Model Context Protocol (MCP) support. This allows you to inspect your phone’s system parameters, run subnet-wide network sweeps, execute background crons, dump active UI layouts for device automation, run sandboxed Python scripts, search the web using RAG, and connect to remote tool servers over SSE (Server-Sent Events). Additionally, it integrates a Telegram Bot backend with unified session tracking, allowing you to trigger any of these system tools, check background schedules, or query your AI models remotely from your Telegram app. ⚡ Why is it Super Lightweight? Zero Local AI Inference Overhead : Instead of running massive, hot-running local LLMs on your mobile CPU (which consumes 4GB+ RAM and drains battery in minutes), PocketStrike AI acts as an intelligent orchestrator . It runs a lightweight ReAct state engine locally and delegates heavy token processing to remote API endpoints or local Ollama servers. Minimal Memory Footprint : The background Flask server is highly optimized, consuming only 30MB - 50MB of RAM under activ","default_branch":null,"files":null,"tree":[],"storefront":"/r/AbuZar-Ansarii","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AbuZar-Ansarii/PocketStrike-AI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}