Open protocol for deterministic, offline verification of AI agent authorization.
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Updated
Mar 22, 2026 - Go
Open protocol for deterministic, offline verification of AI agent authorization.
Comprehensive, community-curated directory of autonomous AI agents, frameworks, platforms, and automation tools for developers and enterprises. Explore the latest in multi-agent collaboration, coding automation, workflow orchestration, and domain-specific AI assistants.
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Autonomous AI BD agent for SolCex Exchange — 24/7 token scanning, 100-point scoring, x402 USDC micropayments for premium intelligence, and automated outreach. Built on OpenClaw, deployed on Akash Network.
Identity Continuity Guardrails for Agentic Systems: An open-source implementation of the Nested Agentic Architecture (NAA) for the autonomous Agentic Web.
A real-time multi-agent simulation framework where autonomous agents explore warehouse environments, discover objects, and optimize retrieval through swarm intelligence principles.
This repository showcases a variety of AI agent implementations, ranging from chat applications and RAG (Retrieval-Augmented Generation) pipelines to specialized MCP (Model Context Protocol) servers.
Autonomous AI trading agent. Claude Sonnet + Bitget USDT futures. Running live with real money.
AutoSentry is a decentralized, blockchain-powered AI agent that autonomously monitors IoT sensor data, detects anomalies using a lightweight machine learning model, and triggers on-chain actions.
Una piattaforma di simulazione per Sistemi Multi-Agente (MAS) progettata per testare e analizzare l'interazione tra agenti intelligenti in scenari di rete complessi, con supporto per il monitoraggio dei risultati e la valutazione dei parametri di sistema.
An autonomous agent framework for X (formerly Twitter) powered by Selenium and OpenAI's GPT models. Designed for intelligent content creation, community engagement, and strategic account growth with self-learning capabilities.
My solutions on AIDevs3, a practical course focused on building autonomous systems and AI agents using Large Language Models (LLMs). The course covers fundamentals of generative AI, API implementations, multimodal interactions, knowledge base creation, and development of AI agents.
An autonomous, privacy-first Dynamic Application Security Testing (DAST) agent powered by Local LLMs (Ollama). It orchestrates tools to detect, validate, and report vulnerabilities in local environments without data exposure.
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