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Aether — Autonomous AI Driven OSINT & security-research desktop agent (macOS/Windows) that builds a live knowledge graph. Authorized use only | Kitploit
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GitHubfknmega/aether

Aether

Autonomous AI Driven OSINT & security-research desktop agent (macOS/Windows) that builds a live knowledge graph. Authorized use only

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15142222h 16m agoReviewed by Kitploit

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Aether

Aether

An AI-driven OSINT analyst that lives on your desktop.

Give her a name, an email, a username, a domain, or a photo. She opens a case, runs the target across the open web, reads the metadata, maps the infrastructure, and draws everything she finds into a knowledge graph that grows while you watch. Runs on macOS and Windows, powered by Claude, ChatGPT, or a local model of your own.


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The Aether knowledge graph on the fknMega case



macOS Windows Electron AI-driven MIT

Runs on Claude, ChatGPT, or your own local model

Claude  ·  ChatGPT and any OpenAI-compatible endpoint  ·  Ollama (fully local, nothing leaves your machine)


please don't use this to dox the innocent >:(

Seriously. Aether is for people and systems you're actually allowed to look into: your own exposure, folks who asked you to check theirs, and lab or CTF boxes you own. She only reads what's already public or shown by a platform. She won't break authentication, get past bot-detection, phish, or take over accounts, and those limits are baked into how she works. Point her at a stranger you have no business investigating and you're the baddie, not her. Be normal.


What it's like to use

You hand Aether a selector and she gets to work. She thinks out loud like she's writing up a case file, not firing off chat replies. Every tool she runs shows up as a small line in a running log that ticks from "working" to "done." The moment she finds something she writes it into the graph, then flips its status as she confirms it or rules it out.

Color on the graph means status, not decoration. Only the target glows. A confirmed fact gets a white ring, the stuff she still has to chase pulses pink. Nodes carry real pictures too: a face on a person, the site's favicon on an account, the actual photo on a photo node.

The chat, written like a dossier
She writes it up like a report. Her reasoning is set in serif, the evidence in mono, every tool call logged as she goes.



The live knowledge graph
The graph is the hero. A force-directed canvas you can pan, zoom and drag, colored by type and ringed by status.



Modules
Dozens of no-key OSINT and recon tools bundled in, plus your own commands and APIs. Flip on what you want.



Provider settings
Run her on Claude, on ChatGPT, or fully local through Ollama. Same tools, same graph, your choice of brain.

What's in the box

A live knowledge graph. A force-directed canvas rendered like ink on paper. Nodes are colored by selector type, ringed by status, sized by how connected they are, and shown with real pictures where there are any. It's the main workspace, and it updates as the case builds.

A chat that reads like a case file. Answers stream in as she writes them, and every tool call shows up as its own line in an evidence log that animates from running to done.

A built-in Sherlock. username_search checks a handle across dozens of platforms at once, no Python and no setup, and tells you where a public profile exists.

Dozens of bundled tools. A big catalog of no-key OSINT and recon endpoints (GitHub, crt.sh, RDAP, DNS over HTTPS, Shodan InternetDB, RIPE, Wayback, urlscan, OTX, Hudson Rock and more), plus one-toggle wrappers for the usual recon CLIs (maigret, subfinder, httpx, nuclei, nmap). Add your own too: a local command, or any HTTP API called with your keys, which get encrypted on your machine and never leave it in plaintext.

Offensive-security playbooks. A bundled set of skills (network recon, web enumeration, foothold, privilege escalation, password attacks, an HTB methodology) the model loads when a lab or CTF task calls for it.

Three brains, one analyst

Aether isn't locked to one model. Pick your provider in Settings, and the model switch is right there in the chat, next to where you type.

The graph, the tools, and the whole workflow are identical whichever you choose. For the local route, use a model that supports tool calling (llama3.1, qwen2.5, mistral-nemo); ones without it will still chat but can't drive the graph.

Getting started

root@kitploit:~
git clone https://github.com/fknMega/Aether.git
cd Aether
npm install
npm run dev

On Claude, the first launch walks you through signing in (or run npm run login). On ChatGPT or Ollama, drop your key or point at your local server in Settings and go. You'll need Node 18+; there's no database to run and no native toolchain to install, and state is a plain JSON file.

Building an app

root@kitploit:~
npm run dist:mac   # .dmg and .zip, built on macOS
npm run dist:win   # .exe installer, built on Windows

Build each OS on that OS, since the claude binary ships as a per-platform package. Output lands in release/.

Auto-updates work on both Windows and macOS, and there's an Updates panel in Settings (check, status, install, auto-check toggle). Aether reads the latest GitHub Release, downloads the build in the background, and installs it: on Windows it runs the new installer, and on macOS it swaps its own app bundle and relaunches (no code signature required, unlike the stock Electron updater). If the app lives somewhere it can't write, it falls back to opening the .dmg for a quick drag. To publish a build, create a Release with the .dmg / .exe assets attached (e.g. gh release create v2.0.2 release/* with a token that has contents:write).

The security part, worth reading

Aether is an autonomous agent that runs on your machine, so treat it the way you'd treat a coding agent with the permission prompts turned off. With autonomy on (the default) she runs shell commands, local-command modules, and file writes without asking, all inside a fenced workspace, but a determined command can still reach the rest of your account. Turn autonomy off in Settings for a safe mode that keeps the read-only collection tools and API modules and drops the shell.

Custom modules are trusted config, so only add ones you wrote or trust. Keys, both for modules and for your AI provider, are encrypted at rest with the OS keychain and never sent to the renderer in plaintext. And prompt injection is real: Aether reads web pages and text inside images as part of the job, and treats all of it as data rather than commands, but no mitigation is perfect, so don't turn her loose on hostile targets while secrets are within reach. None of this is a bug list. It's just what the tool is, and open-sourcing it means you can read exactly what it does.

Community and support

  • Discord: discord.gg/zjawxkDZVP come say hi, share cases, ask for help.
  • Sponsor: github.com/sponsors/fknMega if Aether is useful to you and you want to keep her fed.

License

MIT. See LICENSE.

The people and findings in the screenshots are made-up demo data. Be good out there.
Download Tool
ProviderWhat it isNeeds
ClaudeThe default. Uses your Claude subscription through the Agent SDK.Sign in once
ChatGPTAny OpenAI-compatible endpoint (OpenAI, Azure, OpenRouter, a proxy).Your API key
OllamaA model running fully on your own machine. Nothing leaves the box.ollama serve + a tool-capable model