Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.
Official command-line tool for Reolink IP cameras, doorbells and NVRs — LAN only, no cloud. Snapshots, PTZ, RTSP/RTMP stream URLs, two-way audio (talkback/TTS), motion and AI detection, event monitoring, VOD download. JSON output and a built-in MCP server. Works with Home Assistant, Frigate and go2rtc.
MCP server that execute applescript giving you full control of your Mac
MCP server for Anki via AnkiConnect
Community collection of Apify agent skills for AI coding assistants

MCP server to connect to whoop API
pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers.
Academia MCP server: Tools for automatic scientific research
Model Context Protocol server for ActivityWatch time tracking data
A Model Context Protocol for checking domain name registration status in bulk.
Apache IoTDB MCP Server
MCP server for Minecraft Development
Cofounder is a project harness that turns your AI coding agent into a technical cofounder.
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱
Extract design tokens (colors, typography, spacing, border radius, shadows) from any public website. Generates JSON and CSS custom properties for local projects. Available as an AI agent skill (Claude, Cursor, Codex) and standalone CLI.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Personal memory across agents

A curated list of Model Context Protocol (MCP) servers
Nextcloud MCP Server
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Memory and context manager just works.
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics