Today's GitHub Trending page tells a story that's been building for months: Agents are done giving advice. They want to do the work.
Let's look at three repos that lit up the charts today.
The Signal: Agents That Execute, Not Just Suggest
morluto/rea — Agent Chains for Deep Reverse Engineering
"Reverse engineer anything with agents, from app behavior down to native binaries."
Why is this hot? Because rea doesn't just analyze an app and tell you what it does—it chains multiple Agents together to automatically reverse-engineer everything from high-level app behavior down to native binaries. That's a multi-step, long-chain execution task that used to require hours of manual work.
The key insight: the Agent doesn't stop at "here's what I found." It keeps going until the job is done.
boykopovar/AnyPS5 — Automated Cross-Platform Porting
"Tool for automatic PS5 executables porting to Linux and Windows."
PS5 → PC porting used to be a grueling manual process. AnyPS5 automates it. The Agent doesn't write a porting guide for you to follow—it executes the porting itself.
cathrynlavery/diagram-design — Native Deliverables, Not Mermaid Slop
"No shadows. No Mermaid slop."
44 diagram types. Self-contained HTML + SVG. Works with Claude Code, Codex, Copilot, Cursor. The output isn't "here's some Mermaid code, go render it yourself"—it's a finished, deliverable diagram.
The Pattern
All three repos share one trait: they produce action and deliverables, not suggestions.
But here's the gap that none of them fully address: what happens when an Agent needs to operate a desktop application?
An Agent can understand a task, break it down, decide what to do. But when it needs to:
- Click a button in a legacy ERP system
- Fill out a multi-step form in a desktop app
- Navigate a browser-based admin panel
- Extract data from a proprietary UI
...it often "loses its hands." It can see, but it can't touch.
The Missing Layer: RPA as the Agent's Hands
This is where Agent + RPA comes in.
Think of it as a brain-hands split:
- Agent = the brain: understands the task, breaks it into steps, makes decisions, handles exceptions
- RPA = the hands: clicks buttons, fills forms, navigates UIs, extracts data
iflytek/astron-rpa is built for exactly this. It's an Agent-ready RPA suite—open-source, out-of-the-box automation tools for desktop and browser operations, designed to work as the execution layer for AI Agents.
What does "Agent-ready" actually mean?
It means the RPA layer isn't a standalone scripting tool. It's designed to be orchestrated by an Agent:
- Agent receives a task (e.g., "process all orders from today's email")
- Agent breaks it down (read email → extract order data → open ERP → fill form → screenshot → archive)
- Agent delegates each step to RPA (RPA clicks through the ERP, fills the form, takes the screenshot)
- Agent handles exceptions (if a form field doesn't match expected format, Agent decides what to do)
Pair it with workflow orchestration
For enterprise scenarios, pair astron-rpa with iflytek/astron-agent—an enterprise-grade, commercially-friendly agentic workflow platform for building SuperAgents.
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astron-agent= orchestration, multi-Agent collaboration, long-running workflow stability -
astron-rpa= execution, desktop/browser automation, the "hands" that actually do the clicking
Together: brain + hands. Orchestration + execution.
The Takeaway
Today's trending repos prove that developers want Agents that do things, not Agents that tell you things. But "doing things" in real enterprise environments means operating desktop apps, legacy systems, and browser interfaces—places where pure LLM Agents can't reach.
Agent + RPA is how you close that gap.
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iflytek/astron-rpa— Agent-ready RPA suite -
iflytek/astron-agent— Enterprise agentic workflow platform
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