# entry score
01

thedotmack/claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

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02

mattpocock/skills

Skills for Real Engineers. Straight from my .agents directory.

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03

Donchitos/Claude-Code-Game-Studios

Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.

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05

Renhuai123/ziwei-doushu

紫微斗数开源排盘引擎 — 基于倪海厦《天纪》体系,含完整排盘算法、四化系统、格局知识库、古籍原文数据

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06

milind-soni/OpenMausBot

Open-source Grok Bot alternative with a virtual machine that bots can use

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07

pbakaus/impeccable

The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.

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08

obra/superpowers

An agentic skills framework & software development methodology that works.

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09

lightpanda-io/browser

Lightpanda: the headless browser designed for AI and automation

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10

HKUDS/DeepTutor

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

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11

Orkas-AI/Orkas

Orkas is an open-source (MIT), local-first AI team for your desktop: a Commander turns your goal into to-dos and coordinates 16 built-in specialist agents plus Claude Code, Codex, OpenCode, OpenClaw and Hermes, with projects, scheduled automations and connectors. Free app for macOS & Windows; built-in models or your own keys.

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12

THU-MAIC/OpenMAIC

Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click

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13

bregman-arie/devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

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14

vorssaint/vorssaint-utils

Free and open-source macOS menu bar toolkit.

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About this ranking and its sources

AI Trends covers AI tools, models and open source projects, with data sources including GitHub. Each entry presents a summary; linked project names lead to the original pages for further reading. Summaries without a translation remain in their original language.

Scores and rank changes appear only when the data is available; a dash indicates missing data. Platform metrics, such as GitHub stars, are not converted into trend scores. The update time refers to publication on AI Trends, not a project's release or update date.