Universal content reader MCP Server for 10+ platforms

Touhou-inspired Agent Skills: distinct, testable, composable problem-solving workflows.

The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Delphi 10.4+ (limited), full support from Delphi 12 Athens.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

PC Engine / TurboGrafx-16 / SuperGrafx / PCE CD-ROM² emulator, debugger, and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

New way for collect information from the API's/Websites

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

A fast, keyboard-driven HTTP intercepting proxy and hacking & pentesting toolkit for the terminal.

Portable Agent Skills for building and maintaining Open Knowledge Format project wikis in plain Markdown.

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

Aqua, a cli message tool for AI agents

All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org

Transcribing Lessons from Tongji Look Platform to Notes with Agent Skill.

Give any AI agent a full desktop — it sees the screen, clicks, types, and runs apps like a human. Automate anything with a UI: browsers, legacy software, internal tools. No API needed. One Docker command.

A fully functional and production-grade reverse engineering MCP Server

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

Browser-native AI agents for X (Twitter): multi-account, MCP-ready, no X API key required.

Your First LLM-Wiki Conversation Knowledge Base