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A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.

A peer-reviewed pub crawl through the literature — MCP server for PubMed & biomedical literature search

MCP server for Kali Linux penetration testing - 139 tools for AI-assisted security testing - Giving Agents access to full pentesting tools

Session and event store for MCP server, also allows distributed coordination between servers.

Connect Claude AI to your Nextcloud via the Model Context Protocol. Browse, search, and manage files through natural conversation.

MCP server connecting Google Ads + GA4 into one AI-driven feedback loop inside your IDE

Instantly turn OpenAPI Specs into MCP Tools

Humanlike persistent memory for AI agents — MCP server with 5-level lazy-loaded SQLite memory. Works with Claude Code, Gemini CLI, Cursor, Windsurf, OpenCode.

MCP server for Limitless Pendant — search, retrieve, and analyze lifelog recordings from Claude.

AI-powered search capabilities for AI assistants using the Tavily API and Model Context Protocol (MCP)

10,000 pixel punk NFTs for AI agents. Mint with x402 on Base, trade on Ethereum L1.

A powerful, custom opencode configuration, complete with a suite of agents, commands, rules, skills, and a pre-configured MCP server. It's designed to be a flexible starting point for you to build upon and adapt.

(HAM) Memory system for AI coding agents. Cut token usage by 50% by scoping context to directories.

AI agent skill для очеловечивания русскоязычного текста. Убирает 25 признаков AI-генерации.

Bayesian framework for quantitative hypothesis evaluation with correlation correction, meta-analysis, and uncertainty decomposition

MCP server connecting Claude Code to Perplexity Comet browser. Autonomous web browsing, agentic research, multi-tab management. Windows/WSL/macOS support. Smart completion detection, auto-reconnect, tab protection. Enhanced fork with 7 tools including comet_tabs.

A model-driven approach to building AI agents in just a few lines of code.

The easiest way to use Agentic RAG in any enterprise

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.