magiclf-ai

magiclf-ai / agentic-ida-pro

Public

LLM & IDA 主导的逆向分析平台

27
3
69% credibility
Found Mar 09, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An AI agent system that automates reverse engineering tasks in IDA Pro, featuring a real-time observability dashboard for monitoring analysis sessions.

How It Works

1
🔍 Discover the Analysis Helper

You find a smart assistant that helps understand complex computer files by automatically exploring their hidden structures.

2
🚀 Start the Assistant

With one simple launch, everything sets up and connects to your analysis tool, ready to go.

3
📁 Load Your File

Pick your mystery file, and the assistant opens it up, scanning for patterns and secrets inside.

4
💬 Ask Your Question

Tell it what you want to know, like 'find the data layouts', and watch it spring into action thinking step by step.

5
📊 Watch It Work Live

A colorful dashboard shows every thought, tool use, and discovery in real-time, like peeking into a detective's notebook.

6
✅ Review Discoveries

New structures, comments, and insights appear right in your file, making the unknown clear and organized.

🎉 Analysis Complete

Your file is now fully mapped with smart additions, saving hours of manual work and revealing its inner workings effortlessly.

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Star Growth

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AI-Generated Review

What is agentic-ida-pro?

Agentic-ida-pro is a Python platform that pairs LLMs with IDA Pro for automated reverse engineering, handling tasks like struct recovery, function analysis, and call path expansion via agentic workflows. It turns manual binary dissection into guided, iterative sessions where LLMs query IDA over HTTP, execute scripts, and log everything in a real-time observability dashboard. Developers get a local LLM github projects setup that outputs annotated IDBs with comments and types, solving the tedium of RE grunt work.

Why is it gaining traction?

It stands out as an ida llm plugin alternative with full agentic control—subagents spawn for IDAPython tasks, tools search symbols/xrefs, and a Vue-based UI (launched via start_observability.sh) shows live turns, tool calls, token stats, and exports. Unlike basic llm github copilot wrappers, the observability rivals pro tools, with hot reload for dev and session timelines for debugging agent flows. Early adopters dig the llm ida pro integration for local runs without cloud dependencies.

Who should use this?

Reverse engineers grinding IDA Pro on malware, firmware, or closed-source binaries who want LLM acceleration for struct hunting and xref navigation. Firmware devs reversing IoT blobs or game hackers mapping unknowns will save hours on repetitive queries. Pairs well with llm github resources for teams building custom ida llm workflows.

Verdict

Worth starring for IDA users exploring agentic RE—17 stars signal early days, but the polished observability UI and Python extensibility punch above weight despite 0.699999988079071% credibility score. Test on non-critical IDBs first; docs are README-focused, needs more examples for prime time.

(198 words)

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