iBz-04/raya
let LLMs control your desktop for tasks
15 repositories
let LLMs control your desktop for tasks
Constitutional governance runtime for autonomous AI agents
A local AI agent platform for people who want broad, real-world automation with a design that makes powerful actions safer and easier to predict
A fully local, autonomous AI penetration-testing agent powered by Gemma 4-12B and a Flask MCP tool server. Runs recon, attack loops, and report generation on its own — no cloud, no API keys. For authorized security testing only.
Quay — Autonomous AI Software Factory. Self-hosted AI agents, MCP integration, customizable pipelines, and real-time Mission Control.
🛡️ Autonomous Offensive AI Framework & Cognitive Multi-Agent Swarm for Red Teams & Penetration Testers. Polyglot Engine (C++20 SIMD, Rust Tokio, Go Prober, Python Swarm) with Zero False-Positive Proof Capsules & MCP Server.
🤖 An autonomous job-search agent that discovers relevant opportunities, evaluates job listings against your profile, and automates the job application workflow.
A terminal-based AI infrastructure designed to host autonomous agents. It can do "N" number of things, you name it!
Autonomous AI software development platform powered by specialized LLM agents and LangGraph, capable of transforming natural-language requirements into complete software projects through stateful, human-in-the-loop workflows.
Manusclaw: Unleash self-reasoning CLI beasts to execute code, browse the web, and dominate tasks — across 12+ messaging channels, with voice wake, live canvas, SSH control, and multi-agent routing. No limits. Pure power.
JL Engine Local is a local ai agent stabilization layer With a focus on ai personality. Including an Emotional and speach rythum focused control protocol + headless engine and more.
APEX — An experimental architecture for autonomous software organisms.
MCP server to verify and timestamp document hashes on Hedera mainnet
EVA is an autonomous cognitive operating system designed for natural voice interaction, adaptive reasoning, multi-agent collaboration, long-term memory and secure task execution.
CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, analysis, and reporting. It showcases agent orchestration, task delegation, and modular AI system design used in real-world enterprise applications.