Bring your Agent like OpenClaw into AIvilization and let it live as a resident in a persistent AI town.

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

From Java Dev to AI Engineer: Spring AI Fast Track

An official set of skills to share, maintain and connect personal AI Agents.

Multi-agent systems, memory, planning, reasoning loops

The filesystem for AI agents

Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.

A collection of projects showcasing RAG, agents, workflows, and other AI use cases

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Linkly AI CLI Tools

250+ real-world TypeScript AI projects: workflows, agents, and multi-agent systems with production-ready architecture, not chatbot demos.

Learn AI and LLMs from scratch using free resources

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents

A curated list of indie-built AI startups — bootstrapped, pre-seed, and angel-funded products only.

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

Money-saving guide to AI coding tools: free tiers, discounts, referral credits & open-source alternatives. 省钱指南。

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

Cesium AI Integrations is a collection of reference integrations and experiments connecting the Cesium ecosystem with AI systems including Model Context Protocol (MCP) tools, retrieval pipelines, and agent skills.

Source-backed feature comparison of memory systems for AI coding agents. No affiliation, no marketing — just facts from public docs.

The Developer's Guide to AI - A Field Guide for the Working Developer

BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.

Fast, flexible, and open tooling for building intelligent workflows with Cypress.