MaaNTE

MaaNTE

MaaNTE automates Neverness to Everness dailies with image recognition and OCR — free and AGPL-3.0.

59/100MonitorFreeFree

For daily Neverness to Everness players who don't mind editing JSON Pipeline configs, MaaNTE is a credible free pick: AGPL-3.0, source on GitHub, and recognition-driven input that survives UI patches better than a click recording. The audio-based dodge/counterattack and the 超强音 rhythm auto-play are the parts you won't replicate with a generic macro tool. The cost is concrete — no GUI, Windows only, no official support — so casual players should keep looking.

Verified 5d ago · liveness 59/100 · cite: rightaichoice.com/tools/maante

Best for
  • Dedicated Neverness to Everness players automating the daily grind
  • Multi-account players farming resources efficiently
  • Tech-savvy gamers comfortable editing JSON Pipeline configs without a GUI
  • Open-source enthusiasts who want to audit AGPL-3.0 source before running it
Not ideal for
  • Players wanting a general-purpose bot that works across multiple games
  • Anyone who needs a polished GUI with setup wizards
  • Users expecting official support or game API integration
Visit Website

IntermediateBudget an evening if you are new to MaaFramework: Windows download from an official channel, then reading the docs to understand JSON Pipeline nodes before your first task runs. Players already familiar with MaaFramework-style configs can get a working routine going much faster; there is no wizard to shortcut it.DesktopNo public APIVerified 5d ago
Pricing
Free
FreeFree tier3 hidden costs
Learning curve
Intermediate
Budget an evening if you are new to MaaFramework: Windows download from an official channel, then reading the docs to understand JSON Pipeline nodes before your first task runs. Players already familiar with MaaFramework-style configs can get a working routine going much faster; there is no wizard to shortcut it.
Runs on
Desktop
No public API
Who it's for
Daily NTE player with a Windows PCMulti-account farmerTinkerer / developer
Live sentiment
Is MaaNTE actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip MaaNTE if you want a double-click installer for a game automation tool — it runs GUI-free, so you configure behaviour by editing JSON Pipeline files before it does anything useful.

The 30-second take
Biggest gripe

AGPL-3.0 covers the software itself, but the project warns that paid resale and third-party repackages exist — paying anyone for MaaNTE is money spent outside the project.

Price reality

MaaNTE is published as a free, AGPL-3.0 open-source project, so there is no subscription to compare against paid automation services or paid macro suites. The trade is budget for time: you spend nothing, but you supply the configuration effort and depend on community maintenance.

In short

MaaNTE — MaaNTE automates Neverness to Everness dailies with image recognition and OCR — free and AGPL-3.0. Best for Dedicated Neverness to Everness players automating the daily grind, Multi-account players farming resources efficiently, Tech-savvy gamers comfortable editing JSON Pipeline configs without a GUI. Free to use.

What people actually say about MaaNTE — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

25 mentions across 3 sources (YouTube, Bluesky, GitHub) · researched Jul 28, 2026.

17% positive83% critical

Average across the 3 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Free and open-source under AGPL-3.0 license.
  • +Advanced image recognition handles UI changes gracefully.
  • +Audio-based real-time dodge and counter assistance works well.
  • +Automates daily missions, fishing, and rhythm games effectively.
  • +Extensible via JSON workflows and Python custom actions.
Recurring frustrations
  • −International server detection is broken per GitHub issues.
  • −Almost no English language support or documentation.
  • −Setup requires technical skills; not for casual users.
  • −Only supports one game – Neverness to Everness.
  • −Community feedback is extremely limited outside GitHub.
Patterns worth knowing
International server detection issues hinder non-Chinese users
Seen on GitHub
Growing GitHub stars indicate rising but niche interest
Seen on GitHub
Active development but unresolved bugs (37 open issues)
Seen on GitHub
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • No monetary costs, but requires time to learn setup and troubleshoot issues.

Viability Score

59/100
Monitor

How well maintained and how widely used is MaaNTE? 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

Recent activity
90
Traction
100
Site health
95
User sentiment
17
What the vendor publishes
0

Last calculated: October 2026

How we score →

Key Features

  • Auto-fishing with automatic selling, bait purchase and infinite looping
  • Real-time dodge and counterattack driven by game audio recognition
  • Automated pickup of in-game items
  • Automatic story dialogue skipping
  • Click teleport
  • Auto-farming of 粉爪大劫案 event rewards
  • Automatic 店长特供 coffee-making for city stamina and 方斯
  • Auto-play of the 超强音 rhythm minigame
  • Automatic song selection and continuous performance for 超强音
  • Frame rate adjustment for rhythm minigame auto-play
  • Automatic piano playing
  • Image recognition for game UI detection
  • OCR text recognition for in-game text
  • JSON Pipeline task orchestration via MaaFramework
  • Python custom action extension

About MaaNTE

FreeIntermediateNo APIDesktop

MaaNTE (also labeled "MAA 异环小助手") is an open-source automation assistant built for exactly one game: Neverness to Everness. Instead of replaying recorded clicks, it reads your screen with image recognition and OCR, then sends simulated input — so a UI shift after a patch is less likely to silently drain your resources the way a recorded macro can. It is built on MaaFramework and runs on Windows with no GUI: tasks are declared as JSON Pipeline nodes, with template matching, OCR and custom recognition algorithms available to developers, plus Python custom actions you can bolt on. The task list is unusually NTE-specific. Auto-fishing covers automatic selling, bait purchase and infinite loops. An audio-recognition system listens to game sound effects for real-time dodge and counterattack. Add auto-pickup, auto-skipping story dialogue, click teleport, farming the 粉爪大劫案 event rewards, the 店长特供 coffee-making activity for city stamina and 方斯, auto-play of the 超强音 rhythm minigame with automatic song selection, continuous play, frame-rate adjustment and piano playing. Daily reward claiming is covered too, and the framework ships multi-resolution support, logging and error recovery. It is community-driven under AGPL-3.0: anyone can submit code, all source is published on GitHub, and builds circulate through GitHub, mirrors, 网盘 downloads and QQ and Discord groups. The project states it is not affiliated with the developer or publisher of Neverness to Everness. The honest positioning: generic macro recorders and multi-game bots are easier to start with, and a polished commercial assistant will hand you a GUI and a support desk. MaaNTE trades all of that for transparency and NTE-native logic. If you are not comfortable editing JSON configs and downloading only from official channels, this is not the tool for you.

Behind the Verdict

The pitch here is narrow on purpose. MaaNTE automates Neverness to Everness and nothing else, and that focus is why its task list looks the way it does — auto-fishing with automatic selling, bait purchase and infinite looping; audio-recognition real-time dodge and counterattack; the 店长特供 coffee activity for city stamina and 方斯; 超强音 rhythm auto-play with automatic song selection and frame-rate adjustment. A general-purpose macro recorder will never know what those are. Pick it when your bottleneck is repetition. Fishing loops, event reward farming, daily claim, story dialogue skipping — that is the grind it was written for, and running it unattended frees the time you'd rather spend on content you actually enjoy. Pass if you want a double-click installer. There is no GUI here; you declare tasks as JSON Pipeline nodes under MaaFramework, and while template matching, OCR and Python custom actions are available to developers, that is the entry price. If hand-editing config files is not something you're willing to learn, the friction will beat the payoff. The closest alternative is whatever general macro or multi-game bot you already own. Those win on onboarding and lose on specificity: they don't listen to game audio to time a dodge, and they don't know NTE's event structures. Conversely, if you hop between several games, a single-game tool like this means running several separate setups instead of one. Caveats worth naming before you install. It's Windows-only. Support comes from the community — GitHub issues, QQ and Discord — not a vendor, so nobody owes you a fast answer when a patch lands. And source your build from official channels only: GitHub, the listed mirrors and 网盘 links. Unofficial repackages are the realistic risk here. One thing the sources don't

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Real-world workflow fit

Concrete scenarios for the personas MaaNTE actually fits — and what changes day-one when you adopt it.

Daily NTE player with a Windows PC

Download MaaNTE from an official channel, follow 快速开始 to point it at the game, then load the bundled Pipeline tasks for auto-fishing, auto-pickup, dialogue skipping and daily reward claiming.

Outcome: Daily missions and reward claims complete while you are away from the keyboard, and the fishing loop keeps running with bait purchases and fish selling handled automatically.

Multi-account farmer

Set up JSON Pipeline configurations for each account's routine, including the 粉爪大劫案 event farm and 店长特供 coffee activity for city stamina and 方斯, then run them on a schedule.

Outcome: Resources accumulate across accounts without manual play, with logging available to check what each run did.

Tinkerer / developer

Extend a task by adding a JSON Pipeline node using template matching or OCR, or write a Python custom action for behaviour the built-in nodes do not cover.

Outcome: New automation tailored to your own routine, running alongside the shipped features — and if you think it is useful, the AGPL-3.0 repo accepts contributions from anyone.

Use Cases

Limitations

  • Windows-only, with no GUI: tasks are configured through JSON Pipeline files, so there is a real setup effort before anything runs.
  • It is purpose-built for Neverness to Everness and does nothing for other games.
  • Maintenance is community-driven under AGPL-3.0, so behaviour and support depend on contributors rather than a company.
  • The project explicitly warns that only official channels are safe to download from, because third-party repackages, paid resale and fake repositories exist — and it states it is not affiliated with the developer or publisher of Neverness to Everness, so account risk is yours to weigh.

as of 2026-10-04

Verification history

We have re-verified MaaNTE 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.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-checked, vendor evidence unchanged
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 10 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published MaaNTE tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0

Ideal for

Neverness to Everness players who want the full automation set without paying, and who are comfortable configuring JSON Pipeline tasks themselves.

What this tier adds

Starting tier — the entire feature set, including auto-fishing, audio-based dodge and counterattack, 粉爪大劫案 farming and 超强音 auto-play, under AGPL-3.0 with source on GitHub.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • AGPL-3.0 covers the software itself, but the project warns that paid resale and third-party repackages exist — paying anyone for MaaNTE is money spent outside the project.
  • Because it is community-maintained rather than a commercial product, the cost that bites later is your own time: when a game patch breaks a task, you wait for a contributor to update the Pipeline rather than opening a
  • Downloading from non-official mirrors is a hidden cost in the worst sense — the site warns about 引流群, 假仓库 and trojaned repackages, so a wrong download link can cost you more than the software ever would.

Where the pricing makes sense

The company stage and team size where MaaNTE's pricing actually pencils out — and where peers do it cheaper.

MaaNTE is published as a free, AGPL-3.0 open-source project, so there is no subscription to compare against paid automation services or paid macro suites. The trade is budget for time: you spend nothing, but you supply the configuration effort and depend on community maintenance.

Setup time & first value

How long it actually takes to get something useful out of MaaNTE — broken out by persona, not the marketing-page minute.

Budget an evening if you are new to MaaFramework: Windows download from an official channel, then reading the docs to understand JSON Pipeline nodes before your first task runs. Players already familiar with MaaFramework-style configs can get a working routine going much faster; there is no wizard to shortcut it.

Switching to or from MaaNTE

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a recorded-click macro tool: switch to MaaNTE's image-recognition and OCR Pipeline tasks, which will not blindly replay clicks if the game UI shifts after a patch.
  • →From manual daily play: map each chore you do by hand — fishing, pickups, dialogue, 粉爪大劫案, coffee, 超强音 — to the corresponding MaaNTE task and let the Pipeline chain them.
Migrating out
  • ↗To a general-purpose game automation framework: you gain multi-game coverage but lose NTE-specific tasks like audio-based dodge/counterattack and the 粉爪大劫案 farm.
  • ↗To doing it manually: keep your account fully under your own input, at the cost of the daily time MaaNTE was reclaiming.

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “MaaNTE”, and we withheld 6: 6 could not be judged, because “MaaNTE” 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 MaaNTE.

Official links

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