GitHub Trending May W4: A Deep Dissection of 14 Trending Projects

The Full List: 14 Projects, 8 New Faces

The GitHub Trending list for May 18-24, 2026, was the densest week so far this year. Of the 14 trending projects, 8 were new faces we had not previously studied in depth, spanning frontier directions such as personal AI superintelligence, WiFi spatial sensing, code knowledge graphs, scientific research skill libraries, and the CLI-ification of everything.

The complete list:

#	Project	⭐	Language	Status
1	OpenHuman	17,709	Rust	🆕 Deep research
2	CodeGraph	15,909	TypeScript	✅ Already studied
3	Academic Research Skills	11,691	Python	✅ Already studied
4	Superpowers	10,367	Shell	✅ Already installed
5	CloakBrowser	6,991	Python	✅ In daily use
6	RuView	6,741	Rust	🆕 Deep research
7	AgentMemory	6,734	TypeScript	✅ Already deployed
8	AI Engineering from Scratch	5,026	Python	✅ Already studied
9	Understand-Anything	28,078	TypeScript	🆕 Deep research + already installed
10	CLI-Anything	37,000	Python	🆕 Deep research + already installed
11	Supertonic	3,281	Swift	🆕
12	Easy-Vibe	2,711	JavaScript	🆕
13	Scientific Agent Skills	25,847	Python	🆕 Deep research
14	Oh-My-Pi	2,073	TypeScript	🆕

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1. OpenHuman (#1 · 17,709⭐): Your Personal AI Superintelligence

One-Sentence Positioning

Connect 118+ services including Gmail, Slack, GitHub, Notion, Stripe, and Calendar with one click, auto-sync every 20 minutes, and build a local Karpathy-style Obsidian Wiki memory system, so the AI "knows you" from day one.

Technical Architecture

• Languages: Rust 64.9% + TypeScript 30.7%
• License: GPL-3.0 (⚠️ restrictions on commercial use)
• Version: v0.53.43 · 34 releases · 60 contributors
• Created: 2026-02-18 (reached 17K⭐ in just 4 months)
• Team: the tinyhumansai developer collective, led by senamakel

Core Capability Matrix

Capability	Technical Implementation
🧠 Memory tree + Obsidian Wiki	SQLite local storage, automatic chunking at ≤3K tokens, a hierarchical summary tree
🔌 118+ OAuth integrations	One-click connection, with background data pulled automatically every 20 minutes
🎯 Model routing	One subscription auto-dispatches reasoning / fast / vision models
🖥️ Deep desktop integration	A Tauri desktop app, screen awareness, keyboard autocomplete
🎤 Native voice	STT input + ElevenLabs TTS + a Google Meet Agent
🔒 Local-first + encryption	Data always stays only on your machine
🔗 AgentMemory backend	Can share memory with Claude Code, Cursor, and Codex

OpenHuman vs Other Agent Platforms

OpenHuman's README directly includes a comparison table, placing itself side by side with Claude Code, OpenClaw, and Hermes Agent:

Dimension	Claude Code/Cowork	OpenClaw	Hermes Agent	OpenHuman
Open source	❌ Proprietary	✅ MIT	✅ MIT	✅ GNU
Onboarding difficulty	✅ Desktop + CLI	⚠️ Terminal-first	⚠️ Terminal-first	✅ Graphical UI, a few minutes
Cost	⚠️ Subscription + add-ons	⚠️ Bring your own model	⚠️ Bring your own model	✅ Local-friendly
Memory and knowledge base	✅ Chat scope	⚠️ Plugin-dependent	✅ Self-learning	🚀 Local KB + learning
API fragmentation	🚫 Requires extra keys	🚫 BYOK	🚫 Multiple vendors	✅ One account
Extensibility	✅ MCP	✅ SKILL.md	✅ SKILL.md	🚀 Rich skills
Desktop integration	⚠️ Basic	⚠️ Lightweight	⚠️ Lightweight	✅ STT/TTS/screen, etc.

What It Means for Us

OpenHuman's "memory tree + Obsidian Wiki" concept aligns closely with our existing Obsidian Vault + AgentMemory architecture. But its 118+ one-click OAuth integrations and 20-minute auto-sync are key capabilities we currently lack.

Action recommendation: 🟡 Observe. The GPL-3.0 license restricts commercial use, and it is still in Beta (213 open issues). Focus on its memory tree architecture and consider integrating a similar mechanism into MemoryHub.

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2. Understand-Anything (#9 · 28,078⭐): Google Earth for Codebases

One-Sentence Positioning

It does not just give you a "code structure map"; it lets you "understand what the code is doing", turning any codebase into an interactive knowledge graph, precise down to business domain mapping (Auth Flow, Payment Pipeline, User Lifecycle).

Technical Architecture

• Language: TypeScript 70.6% · MIT license
• Version: v2.7.3 · 7 releases · 40 contributors
• Created: 2026-03-15 (reached 28K⭐ in 2.5 months)
• Author: Lum1104
• Official site: understand-anything.com (with a Live Demo)

A Pipeline of 7 Dedicated Agents

/understand command → 7 Agents execute in sequence:

  project-scanner    → discover files, detect languages and frameworks
  file-analyzer      → extract functions, classes, import relationships → generate graph nodes and edges
  architecture-analyzer → identify architecture layers (Controller/Service/Repository)
  tour-builder       → generate a guided learning path
  graph-reviewer     → validate graph integrity and referential integrity
  domain-analyzer    → extract business domains, processes, and processing steps (/understand-domain)
  article-analyzer   → extract entities and implicit relationships from Wiki articles (/understand-knowledge)

Killer Features

Feature	Value
Business domain mapping	Automatically identifies Auth Flow, Payment Pipeline, User Lifecycle
Diff mode	PR changes are overlaid directly on the knowledge graph, visualizing the impact of code changes
AI tour	Automatically generates a step-by-step teaching path, so onboarding new hires is no longer painful
Knowledge base mode	Supports a Karpathy-pattern LLM Wiki → a force-directed knowledge graph
26+ file types	Not just code: Dockerfile, Terraform, SQL, GraphQL, and YAML are all covered
JSON export	Commit a graph JSON once, and team members can skip the pipeline and use it directly

Supported Platforms

Claude Code · Codex · Cursor · Copilot · Gemini CLI · OpenCode · OpenClaw · Pi Agent · Hermes · KIMI · Cline · Mistral, covering nearly every mainstream Agent platform.

We Have Already Installed It

# 30-second installation in Claude Code:
/plugin marketplace add Lum1104/Understand-Anything
/plugin install understand-anything
/understand     # Scan the current project
/understand-dashboard  # Launch interactive dashboard

Notes

A Better Stack field test: analyzing a mid-sized project takes about 30 minutes and consumes a large number of tokens. Using a Claude Pro/Max plan is recommended.

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3. CLI-Anything (#10 · 37,000⭐): Everything Can Be a CLI

One-Sentence Positioning

"Today's software serves humans 👨‍💻; tomorrow's users are AI Agents 🤖." Turn any GUI software into a CLI tool that an Agent can operate directly, with no screenshots, no RPA, and no fragile pixel clicking.

Technical Architecture

• Language: Python · MIT license
• Created: 2026-03-05 (broke 13K⭐ within 6 days)
• Team: HKUDS, the Data Intelligence Lab at the University of Hong Kong 🏫
• Official site: clianything.cc (the CLI-Hub central repository)

A 7-Stage Fully Automated Pipeline

/cli-anything <GitHub URL or local path>
   → Phase 1: Source code retrieval
   → Phase 2: Codebase analysis
   → Phase 3: CLI architecture design
   → Phase 4: Implementation (Click CLI + REPL + JSON output + undo/redo)
   → Phase 5: Test planning
   → Phase 6: Test implementation + automatic SKILL.md generation
   → Phase 7: PyPI publish + pip install

Field Record

Software	Test Count	Application Scenario
Blender	200+	3D rendering → Agent operation
GIMP	197	Image processing → Agent operation
Inkscape	197	Vector graphics → Agent operation
Audacity	154	Audio editing → Agent operation
OBS Studio	153	Streaming/recording → Agent operation
LibreOffice	143	Office documents → Agent operation
Kdenlive	151	Video editing → Agent operation
Total	2,280+	18+ applications · 100% pass rate

The CLI-Hub Ecosystem (80 Available CLIs)

We actually installed and browsed CLI-Hub. Below are the tools most useful for business research:

Tool	Category	Purpose
🔥 intelwatch	OSINT	Competitive intelligence, M&A due diligence, open-source intelligence (⭐ installed)
🌐 browser	Web	Chrome browser automation (DOMShell MCP)
🔍 exa	Search	AI search + content extraction
🧠 obsidian	Knowledge	Obsidian knowledge base management
📊 drawio	Diagrams	Diagram creation + export
🏢 libreoffice	Office	ODF document creation, export to PDF/DOCX
🎬 kdenlive / shotcut	Video	Video editing + rendering

We Have Already Installed It

CLI-Anything's meta-skill has been deployed via npx skills to 55 Agent platforms (including OpenClaw), and the CLI-Hub package manager is ready.

Intelwatch Field Notes

During installation, Intelwatch (the competitive intelligence CLI) hit an interesting problem: it depended on the private @recognity/pdf-report package (an internal Recognity package), which made its M&A due diligence feature (the profile command) unusable. But its other 12 commands, track, discover, check, digest, report, compare, ai-summary, and so on, are all fully usable and highly valuable for competitive intelligence tracking.

List of available commands:

Command	Function
track	Track competitors/keywords/brands/people
discover	Discover competitors from a URL (AI scoring)
check	Run all tracking checks
digest	A summary of all tracking changes
diff	A detailed comparison for a single tracking item
report	Generate a complete intelligence report
compare	Side-by-side comparison of two competitors
ai-summary	An AI intelligence brief
pitch	A sales-grade competitor document
❌ profile	M&A due diligence (requires Pro + a private package)

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4. RuView (#6 · 6,741⭐): Turning WiFi into a Spatial Radar

One-Sentence Positioning

Turn an ordinary WiFi router into a spatial sensing system that sees people through walls, monitors breathing and heartbeat without contact, and tracks movement in the dark, all with a $9 ESP32 chip.

Technical Principle

A WiFi router fills space with radio waves at all times. When a person moves, breathes, or even sits still, they disturb these waves in measurable ways. RuView uses an ESP32 chip to capture CSI (Channel State Information) and converts it into actionable spatial intelligence data.

Capability Matrix

Function	Technical Principle	Precision
🫁 Breathing detection	0.1-0.5Hz bandpass filtering → zero-crossing BPM	6-30 BPM
💓 Heart rate monitoring	0.8-2.0Hz bandpass filtering → zero-crossing BPM	40-120 BPM
🧍 People detection	CSI amplitude variation → through-wall multi-person counting	100% accuracy
🏃 17-point human pose	WiFi DensePose (based on a CMU paper)	Real-time
🛏️ Sleep quality	Sleep stage classification + apnea screening	Overnight monitoring
🧠 Self-learning fingerprint	128-dimensional vectors, a 55KB model, running on an $8 ESP32	<5ms

Medical-Grade Modules

• Sleep apnea detection (4KB)
• Arrhythmia monitoring
• Respiratory distress alerts (10KB)
• Seizure detection (10KB)
• Vital trend tracking (6KB)

Hardware Cost

• Basic setup: a $9 ESP32-S3 chip
• Full setup: ESP32 + Cognitum Seed ≈ $140

Application Scenarios

Contactless hospital monitoring, disaster rescue (detecting survivors in rubble), smart home security, and fall detection for the elderly.

Action recommendation: 🟡 Technically extremely innovative, but with relatively low relevance to our existing business. Focus on how its "self-learning WiFi fingerprint" mechanism could be translated into spatial sensing solutions for other domains. MIT license, 10M+ downloads, Rust implementation.

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5. Scientific Agent Skills (#13 · 25,847⭐): A Library of 138 Scientific Skills

One-Sentence Positioning

Turn an AI Agent into a research assistant. 138 skills cover biology, chemistry, medicine, genomics, materials science, and finance, with direct access to 100+ public scientific databases.

Skill Categories

Category	Skill Count	Representative Skills
🔬 Scientific databases	6+	PubChem, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, FRED
📦 Python packages	70+	RDKit, Scanpy, PyTorch Lightning, BioPython, Qiskit, OpenMM
📝 Analytical writing	30+	Literature review, scientific writing, peer review, posters, presentations, clinical reports
🏥 Research and clinical	10+	Hypothesis generation, research funding, clinical decision support, regulatory compliance
⚙️ Engineering simulation	4	Discrete event simulation, multi-objective optimization, metabolic engineering, process optimization

Finance-Related (Directly Valuable to Us)

• FRED (Federal Reserve economic data)
• BEA (Bureau of Economic Analysis)
• BLS (Bureau of Labor Statistics)
• SEC EDGAR (US SEC filings)
• World Bank
• US Treasury Fiscal Data (54 datasets, 182 data tables)
• Alpha Vantage (stock market data)

K-Dense BYOK

The project also provides a desktop app called "BYOK" (Bring Your Own Keys), a free, open-source AI co-scientist that supports 40+ models, with data staying entirely local.

Action recommendation: 🟡 About 15 of the 138 skills are relevant to financial research. We recommend extracting the useful financial database skills rather than installing all of them. The MIT license has no restrictions.

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6. A Quick Look at the Rest

#	Project	⭐	One-liner	Status
2	CodeGraph	15,909	Pre-indexed code knowledge graph, saving 35% of tokens and reducing tool calls by 70%	📋 Analyzed, pending pilot
3	Academic Research Skills	11,691	A full-workflow academic research skill set (Socratic dialogue + three-layer citation tracing)	📋 Analyzed
4	Superpowers	10,367	A software development methodology for coding Agents	✅ meta-skill installed
5	CloakBrowser	6,991	A stealth Chromium browser that passes every bot detection	✅ In daily use (DI, HKEX disclosures)
7	AgentMemory	6,734	A persistent memory system for coding Agents (MCP, 53 tools)	✅ Deployed and running
8	AI Engineering from Scratch	5,026	435 lessons × 20 stages, "Build, Don't Import"	📋 Analyzed
11	Supertonic	3,281	An ultra-fast multilingual local TTS written in Swift, ONNX-driven	🆕 Pending research
12	Easy-Vibe	2,711	A modern programming course aimed at beginners	🆕 Low priority
14	Oh-My-Pi	2,073	A terminal AI coding agent supporting LSP, browser operation, and subagents	🆕 Low priority

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7. Trend Analysis: What This Week's List Tells Us

1. "Memory" Is the Core Battleground for Agents in 2026

OpenHuman (#1), AgentMemory (#7), and Understand-Anything (#9) all revolve around the same theme: letting AI persistently understand your context. Whether it is personal memory (OpenHuman), code memory (Understand-Anything), or cross-Agent memory (AgentMemory), "not starting from zero" has become the baseline requirement for the Agent experience.

2. "Agent-ification of Tools" Is the Next Infrastructure Layer

CLI-Anything (#10) represents a paradigm shift from "humans use software" to "Agents operate software". When 80 GUI applications can all be operated by an Agent via CLI, the interaction interface of software is being redefined.

3. Rust Is Becoming the Language of Choice for Agent Infrastructure

OpenHuman (#1) and RuView (#6) both use Rust as their core language: high performance, memory safety, and WebAssembly-friendly. In scenarios where Agents are extremely sensitive to latency and resource consumption, Rust's advantages are clear.

4. Hong Kong Teams Are Rising

CLI-Anything was developed by the Data Intelligence Lab at the University of Hong Kong (HKUDS), and its 37K⭐ result demonstrates Hong Kong's strength in the AI open-source space.

5. "Not Depending on the Cloud" Is the New Privacy Standard

OpenHuman (local-first + encryption), RuView (edge computing on an $8 chip), Scientific Agent Skills (a BYOK desktop app), Supertonic (local TTS): several projects on the list emphasize "data stays on your machine".

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8. Our Action Plan

Priority	Project	Action
🔴 Immediate	Understand-Anything	Already installed, used to analyze the MemoryHub codebase
🔴 Immediate	CLI-Anything + Intelwatch	Already installed, configure the API Key and then do field research
🟡 Short term	OpenHuman	Observe its memory tree architecture and assess the feasibility of integration
🟡 Short term	Scientific Agent Skills	Extract finance-related skills (FRED/SEC EDGAR)
🟢 Medium term	RuView	Follow the path evolution of its self-learning fingerprint technology
🟢 Medium term	Supertonic	Assess whether it can replace or enhance the existing TTS solution

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Appendix: Installation Command Quick Reference

Understand-Anything

# In Claude Code:
/plugin marketplace add Lum1104/Understand-Anything
/plugin install understand-anything
/understand

CLI-Anything

# In OpenClaw:
npx skills add HKUDS/CLI-Anything --skill cli-hub-meta-skill -g -y

# CLI-Hub Package Manager:
pip install cli-anything-hub
cli-hub list          # Browse 80 available CLIs
cli-hub install intelwatch  # Install competitive intelligence tool

Intelwatch (competitive intelligence)

cli-hub install intelwatch
cli-anything-intelwatch discover <URL>   # Discover competitors
cli-anything-intelwatch track <target>   # Start tracking
cli-anything-intelwatch report           # Generate intelligence report

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This article is based on actual research and installation testing on 2026-05-26. All star counts are real-time data at the time of writing. Project status may change over time.