Pwnagotchi is live · free · last verified 25 Oct 2026 · viability monitor
Pwnagotchi
Pwnagotchi is an open-source, A2C reinforcement-learning Raspberry Pi Zero W that captures crackable WPA handshakes while you walk.
Build a Pwnagotchi if your goal is to learn reinforcement learning on hardware that visibly changes behavior as you carry it around. The A2C agent genuinely retunes its own parameters, the captures land as hashcat-ready PCAPs covering full handshakes, half handshakes and PMKIDs, and Grid mode plus the plugin system give you a next step after the first walk. Skip it if you need speed or scale: for a specific target, bettercap or aircrack-ng used directly will get there faster, and Pwnagotchi ships no monitoring or reporting layer, so it is not an enterprise WiFi auditing tool. This is a learner's and hobbyist's device, and it is honest about that.
Verdict generatedVerified 5d ago · liveness 60/100 · cite: rightaichoice.com/tools/pwnagotchi
- Ethical hackers and penetration testers wanting a hands-on RL project
- WiFi security enthusiasts exploring handshake capture in real environments
- Raspberry Pi hobbyists who enjoy DIY hardware builds
- Learners curious about reinforcement learning applied to a tangible task
- Enterprise WiFi monitoring or large-scale auditing
- Non-technical users without Linux/SSH experience
- Users needing fast, targeted attack capabilities
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- Real pros & cons from real users
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Skip Pwnagotchi if you need to capture a handshake from one specific network today — bettercap or aircrack-ng run directly on your laptop will get there faster and with less hardware wrangling.
You still need a Raspberry Pi Zero W, a suitable WiFi adapter, an SD card and a case before anything works — the software is free but the build isn't
Pwnagotchi itself is free and open source, so the real budget question is hardware and cracking capacity: a Pi Zero W plus adapter is a hobby-level spend, sitting far below commercial WiFi assessment suites, but it also gives you none of their reporting, fleet management or support. It competes on cost with aircrack-ng and bettercap, which are likewise free and run on hardware you probably already own.
In short
Pwnagotchi — Pwnagotchi is an open-source, A2C reinforcement-learning Raspberry Pi Zero W that captures crackable WPA handshakes while you walk. Best for Ethical hackers and penetration testers wanting a hands-on RL project, WiFi security enthusiasts exploring handshake capture in real environments, Raspberry Pi hobbyists who enjoy DIY hardware builds. Free to use.
What is Pwnagotchi?
Pwnagotchi — Pwnagotchi is an open-source, A2C reinforcement-learning Raspberry Pi Zero W that captures crackable WPA handshakes while you walk. Best for Ethical hackers and penetration testers wanting a hands-on RL project, WiFi security enthusiasts exploring handshake capture in real environments, Raspberry Pi hobbyists who enjoy DIY hardware builds. Free to use.
Pwnagotchi turns a Raspberry Pi Zero W into a wearable WiFi-auditing handheld. It runs an A2C-based reinforcement learning agent on the device and instruments bettercap to observe nearby networks, then tunes its own parameters over time based on the WiFi environments you physically walk it through — so it gets better at harvesting handshake material the more real-world exposure you give it. What it collects are the artifacts you actually need for offline cracking: full WPA handshakes, half WPA handshakes, and PMKIDs, written to disk as PCAP files that hashcat can read directly. Pwnagotchi does not crack keys itself; you take the PCAPs to hashcat afterwards. The unit runs headless with a web UI for status and control, and it exposes a plugin system for extending behavior. Two REST API groups exist: a local API on each unit that talks to the WiFi advertisement protocol, and a grid API that handles PwnMail, registered unit lists, and access point reporting so multiple units can cooperate. The project is free and open source with a community on Discord, GitHub, and r/pwnagotchi. It is built for ethical hackers, penetration testers, and Pi hobbyists who want a tangible way to learn reinforcement learning against a real security problem — not for people who need fast targeted handshake capture (bettercap or aircrack-ng directly is the right tool) or enterprise WiFi monitoring with reporting.
Key features
- A2C-based deep reinforcement learning agent running on-device
- Instruments bettercap for WiFi observation and attacks
- Passive WiFi sniffing of nearby networks
- Active deauthentication attacks
- Association attacks
- Captures full WPA handshakes
- Captures half WPA handshakes
- Captures PMKIDs
- PCAP output directly readable by hashcat
- Real-time tuning of its own parameters based on environment
- Headless operation on Raspberry Pi Zero W
- Web UI for status and control
- Plugin system for extending functionality
- Grid mode for distributed coordination across multiple units
- Local REST API for the WiFi advertisement protocol
Behind the verdict
Pwnagotchi's real distinction is that the reinforcement learning is not decoration. Most consumer "AI" gadgets bolt a model onto a fixed feature set; here the A2C algorithm is the mechanism that decides how the device behaves, and the doc's framing is explicit — instead of playing Super Mario or Atari games, it tunes its own parameters to get better at pwning WiFi in the real-world environments you expose it to. That means the quality of your results scales with how much walking you do. Buy it expecting a fixed capture rate out of the box and you will be disappointed; carry it around a city for a few weeks and you will see the behavior shift. The capture pipeline is the part that matters practically. Pwnagotchi is instrumenting bettercap, and it writes PCAP files containing any handshake form hashcat supports — full WPA handshakes, half handshakes, and PMKIDs. It does not crack anything itself. You still take the PCAPs to hashcat on a machine with a real GPU. On the control side you get a web UI for status, a plugin system for extending behavior, and a local REST API for the WiFi advertisement protocol. Grid mode is the most interesting long-term piece: the grid API handles PwnMail, a list of registered units, and access point reporting, which is what lets several units pool observations rather than each unit working alone. Where it falls short is by design. It runs on a Raspberry Pi Zero W, which is the point — cheap, low power, wearable — but that also defines the ceiling. There is no monitoring dashboard, no reporting layer, no fleet management for an IT team. Windows is not referenced anywhere in the evidence; setup assumes Linux, a Pi, SSH and comfort with WiFi networking concepts, so a non-technical buyer will stall at installation. The clearest honest framing is that Pwnagotchi is a learning device with a nostalgia hook (the name is a deliberate Tamagotchi homage, complete with a mood-displaying face) and a genuine security payload. If you want a targeted deauth against one network right now, use bettercap or aircrack-ng directly. If you want to understand how a reinforcement learning agent adapts to a messy physical environment, this is one of the cheapest and most enjoyable ways to find out.
Limitations
- Pwnagotchi runs only on Raspberry Pi Zero W hardware and its learning depends on the amount of real-world WiFi exposure you give it — results scale with walking, not with configuration.
- It is designed to collect WPA handshake material for later cracking, not to crack keys itself, so PCAPs must be run through hashcat or similar on separate hardware.
- Setup involves Linux, Raspberry Pi and WiFi networking concepts, so anyone without Linux/SSH experience will struggle at installation.
- There is no enterprise monitoring or reporting layer, and it is not built for fast, targeted attacks against a chosen network.
as of 2026-10-09
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Is Pwnagotchi still active?
Pwnagotchi is live · free · last verified 25 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Pwnagotchi? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Pwnagotchi?
What people actually say about Pwnagotchi — is it worth it?
Our community sentiment research written Jul 18, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Pwnagotchi— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Pwnagotchi 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed setup time, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, who it suits, summary, use cases
- — changed limitations
- — changed summary, our verdict, description, setup time, features, who should skip it, switching in, hidden costs, limitations, switching out, who it suits, pricing fit, pricing tiers, use cases
- — changed domain expiry
- — changed description, features, our verdict, pricing tiers, who should skip it, who it suits, summary
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Pwnagotchi cost in 2026?
Pwnagotchi: Free to use. Pricing last verified 25 Oct 2026.
Plans compared
Every published Pwnagotchi tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Hobbyists, penetration testers and Pi builders who want to learn reinforcement learning and WiFi handshake capture on their own hardwareAdds: Free entry point — the entire project is open source, with no paid tier above it; your only spend is the Raspberry Pi Zero W, WiFi adapter and accessories you build it on |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Pwnagotchi's pricing actually pencils out — and where peers do it cheaper.
Pwnagotchi itself is free and open source, so the real budget question is hardware and cracking capacity: a Pi Zero W plus adapter is a hobby-level spend, sitting far below commercial WiFi assessment suites, but it also gives you none of their reporting, fleet management or support. It competes on cost with aircrack-ng and bettercap, which are likewise free and run on hardware you probably already own.
Has Pwnagotchi's pricing changed?
No plan price for Pwnagotchi has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Pwnagotchi?
Pick Pwnagotchi if you are Ethical hackers and penetration testers wanting a hands-on RL project, WiFi security enthusiasts exploring handshake capture in real environments, Raspberry Pi hobbyists who enjoy DIY hardware builds, Learners curious about reinforcement learning applied to a tangible task.
Look elsewhere if you are Enterprise WiFi monitoring or large-scale auditing, Non-technical users without Linux/SSH experience, Users needing fast, targeted attack capabilities.
Skip it if Skip Pwnagotchi if you need to capture a handshake from one specific network today — bettercap or aircrack-ng run directly on your laptop will get there faster and with less hardware wrangling.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Pwnagotchi actually fits — and what changes day-one when you adopt it.
You flash Pwnagotchi to an SD card, install it on the Pi with the WiFi adapter attached, and carry it on a daily commute; it passively sniffs and performs deauthentication and association attacks, then writes full handshakes, half handshakes and PMKIDs to disk as PCAPs.
Outcome: A growing folder of hashcat-ready PCAP files, plus a device whose parameters visibly shift as it learns from the networks you keep exposing it to.
You read the Introduction doc, run the unit headless with the web UI open for status, and extend behavior through the plugin system to try custom WiFi experiments while keeping bettercap and aircrack-ng as your primary tools for client work.
Outcome: Practical familiarity with A2C reinforcement learning and with how bettercap's capture pipeline behaves, without replacing the faster tools you bill with.
You register multiple Pwnagotchi units against the grid API so they report access points and check PwnMail, coordinating effort across a distributed set of devices instead of one.
Outcome: Broader coverage of the areas your units move through, with a unit list and access point reports visible through the grid rather than per-device.
Use cases
- Capture WPA handshakes while walking through urban areas
- Learn reinforcement learning principles through a hands-on hardware project
- Build a portable WiFi auditing device from a Raspberry Pi Zero W
- Coordinate multiple units in Grid mode to report access points across a distributed network
- Extend behavior with the plugin system for custom WiFi experiments
- Contribute to an open-source AI and security project via GitHub or Discord
Setup time & first value
How long it actually takes to get something useful out of Pwnagotchi — broken out by persona, not the marketing-page minute.
Expect an afternoon for a first unit: flashing the SD card is quick, but installing and configuring Pwnagotchi, getting the WiFi adapter working and understanding the configuration doc is where the time goes. If you already work with Raspberry Pi and Linux, you can be walking with a running unit the same day. Complete beginners should budget a weekend plus troubleshooting.
Switching to or from Pwnagotchi
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From bettercap alone: install Pwnagotchi on a Pi Zero W and it instruments bettercap for you, adding the A2C agent and PCAP capture on top of the same tooling
- →From aircrack-ng capture workflow: point the PCAPs Pwnagotchi writes at your existing hashcat pipeline, since its handshake output is hashcat-compatible
- ↗To bettercap directly: run bettercap on a laptop when you need deliberate, targeted capture rather than walk-by collection
- ↗To aircrack-ng: use it for the cracking stage if you prefer its tooling over hashcat for the PCAPs Pwnagotchi produced
Integrations
Resources & guides
- Resourcepwnagotchi.ai
Intro · Pwnagotchi
Helpful link from pwnagotchi.ai
- Resourcepwnagotchi.ai
Installation · Pwnagotchi
Helpful link from pwnagotchi.ai
- Resourcepwnagotchi.ai
Configuration · Pwnagotchi
Helpful link from pwnagotchi.ai
- Resourcepwnagotchi.ai
Usage · Pwnagotchi
Helpful link from pwnagotchi.ai
- API Referencepwnagotchi.ai
Api · Pwnagotchi
Methods, params, types from pwnagotchi.ai
- Resourcepwnagotchi.ai
Plugins · Pwnagotchi
Helpful link from pwnagotchi.ai
- Resourcepwnagotchi.ai
Contributing · Pwnagotchi
Helpful link from pwnagotchi.ai
- Resourcepwnagotchi.ai
Faq · Pwnagotchi
Helpful link from pwnagotchi.ai
Tutorials & Learning
YouTube returned 6 videos for “Pwnagotchi”, and we withheld 6: 6 could not be judged, because “Pwnagotchi” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Pwnagotchi.
Official links
What are the best Pwnagotchi alternatives?
The closest alternatives to Pwnagotchi we list are Tracecat, Darktrace and Lumana. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Tracecat | Freemium | Pricing not published | — |
| Darktrace | Contact Sales | Custom pricing | — |
| Lumana | Contact Sales | Custom pricing | — |
Alternatives to Pwnagotchi
View all
Tools that pair well with Pwnagotchi
Common stack mates teams adopt alongside Pwnagotchi, with the specific reason each pairing earns its keep.
Tracecat
Tracecat is open source SOAR that runs AI agent security automation with human approval on sensitive actions.
Darktrace
Darktrace uses self-learning AI to detect and autonomously respond to cyber threats across network, email, cloud and OT.
Lumana
Lumana turns your existing IP cameras into self-learning AI video security agents running on its VIA-1 model.
Pwnagotchi vs its closest rival
Pwnagotchi's closest head-to-head is with Audioeye — Pwnagotchi and AudioEye serve completely different purposes—one is a free, open-source WiFi pwnage tool for ethical hackers; the other is a paid compliance platform for enterprise accessibility. Your choice depends entirely on your domain: security testing vs. web accessibility. Pwnagotchi offers a unique AI-driven learning experience but requires hardware and WiFi knowledge; AudioEye provides a turnkey solution for ADA/WCAG compliance but at a significant cost. Verdict generated
Head-to-head comparisons
Pwnagotchi vs Audioeye
Pwnagotchi and AudioEye serve completely different purposes—one is a free, open-source WiFi pwnage tool for ethical hackers; the other is a paid compliance platform for enterprise accessibility. Your choice depends entirely on your domain: security testing vs. web accessibility. Pwnagotchi offers a unique AI-driven learning experience but requires hardware and WiFi knowledge; AudioEye provides a turnkey solution for ADA/WCAG compliance but at a significant cost.
GeneratedPwnagotchi vs Sublime Security
Pwnagotchi is a free, open-source tool for WiFi security enthusiasts to learn RL and capture handshakes, while Sublime Security is a paid enterprise email security platform requiring dedicated staff to tune detection rules. Choose Pwnagotchi for hands-on WiFi hacking education or Sublime for advanced email threat protection at scale.
GeneratedPwnagotchi vs Push Security
These tools serve entirely different purposes. Push Security is a must-consider for any security team needing real-time browser threat detection and AI data loss prevention — especially given its agentic threat hunting and compliance capabilities. Pwnagotchi is strictly for ethical hackers and RL hobbyists exploring WiFi handshake capture; it has no enterprise application. Your choice depends on whether you need to secure browsers or break WiFi.
GeneratedFrequently asked questions
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