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Business agents · AI agent

PaperDebugger: review, pricing, security and alternatives

PaperDebugger is an open-source AI agent published by PaperDebugger, in the business agents family. A plugin-based multi-agent system integrated into an editor for writing, reviewing, and editing academic papers. Its repository has 1,546 stars and its last commit is from July 3, 2026.

Open sourceLast commit 4 months agoLow risk

What PaperDebugger does

PaperDebugger belongs to the business agents family: agents specialised in one job: customer support, sales, finance, legal, HR, security. On our grid it ranks #42 of the 52 projects of this family listed in the directory.

You use it from: code editor (IDE) and web app. Usable models: GPT (OpenAI).

Who is PaperDebugger for?

It targets a specific job (customer support, sales, finance, legal…) with workflows already set up. Typical tasks people give it:

  • handle first-line customer requests
  • prepare standard documents
  • track cases and follow up

It is a good candidate if you want the AI right inside your code editor and you prefer doing everything in a browser, with no install.

Access and human control

Its documentation does not detail the access granted to the agent: check the settings before connecting it to your accounts.

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Run commands in a terminalRun commands in a terminal : 8 %8 %Read and edit filesRead and edit files : 21 %21 %Drive a web browserDrive a web browser : 4 %4 %Call online services and APIsCall online services and APIs : 37 %37 %Read and send messagesRead and send messages : 17 %17 %
Share of the 52 agents in the family that have each access, according to their documentation. In orange, PaperDebugger's access.

PaperDebugger pricing

The code is free, under the AGPL-3.0 licence.

Getting started with PaperDebugger

  1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
  2. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
  3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
  4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

A business agent acts on the company's behalf: define what it may promise, refund or change, and keep a record of its decisions.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on April 12, 2025, the PaperDebugger/paperdebugger repository has 1,546 stars, 74 forks and 14 open issues, with 261 commits in total. Last change 4 months ago.

Over the last 52 weeks: 215 commits, an average of 4.1 per week.

Nov 2, : 0 · Nov 2, 2025Nov 2,Nov 9, : 2 · Nov 9, 2025Nov 16, : 1 · Nov 16, 2025Nov 23, : 4 · Nov 23, 2025Nov 30, : 5 · Nov 30, 2025Dec 7, : 4 · Dec 7, 2025Dec 14, : 20 · Dec 14, 2025Dec 21, : 26 · Dec 21, 2025Dec 28, : 0 · Dec 28, 2025Dec 28,Jan 4, : 6 · Jan 4, 2026Jan 11, : 7 · Jan 11, 2026Jan 18, : 7 · Jan 18, 2026Jan 25, : 11 · Jan 25, 2026Feb 1, : 20 · Feb 1, 2026Feb 8, : 10 · Feb 8, 2026Feb 15, : 2 · Feb 15, 2026Feb 22, : 13 · Feb 22, 2026Feb 22,Mar 1, : 0 · Mar 1, 2026Mar 8, : 0 · Mar 8, 2026Mar 15, : 1 · Mar 15, 2026Mar 22, : 11 · Mar 22, 2026Mar 29, : 12 · Mar 29, 2026Apr 5, : 0 · Apr 5, 2026Apr 12, : 13 · Apr 12, 2026Apr 19, : 2 · Apr 19, 2026Apr 19,Apr 26, : 2 · Apr 26, 2026May 3, : 1 · May 3, 2026May 10, : 1 · May 10, 2026May 17, : 0 · May 17, 2026May 24, : 0 · May 24, 2026May 31, : 0 · May 31, 2026Jun 7, : 0 · Jun 7, 2026Jun 14, : 0 · Jun 14, 2026Jun 14,Jun 21, : 0 · Jun 21, 2026Jun 28, : 2 · Jun 28, 2026Jul 5, : 32 · Jul 5, 2026Jul 12, : 0 · Jul 12, 2026Jul 19, : 0 · Jul 19, 2026Jul 26, : 0 · Jul 26, 2026Aug 2, : 0 · Aug 2, 2026Aug 9, : 0 · Aug 9, 2026Aug 9,Aug 16, : 0 · Aug 16, 2026Aug 23, : 0 · Aug 23, 2026Aug 30, : 0 · Aug 30, 2026Sep 6, : 0 · Sep 6, 2026Sep 13, : 0 · Sep 13, 2026Sep 20, : 0 · Sep 20, 2026Sep 27, : 0 · Sep 27, 2026Oct 4, : 0 · Oct 4, 2026Oct 4,Oct 11, : 0 · Oct 11, 2026Oct 18, : 0 · Oct 18, 2026Oct 25, : 0 · Oct 25, 2026Oct 25,
Commits per week on the main repository, last 52 weeks (GitHub API, checked October 25, 2026).

2 releases in total; 1 in the last twelve months. Latest release: v2.12.28, on January 12, 2026.

v2.9.8 · Aug 27, 2025v2.9.8Aug 27, 2025v2.12.28 · Jan 12, 2026v2.12.28Jan 12, 2026
The latest 2 releases published on GitHub (hover a point for details).

PaperDebugger vs other business agents

GitHub stars of the best-rated open-source projects in the business agents family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

DeepTutorDeepTutor : 42.5K42.5KVibe-TradingVibe-Trading : 36.5K36.5KPentAGIPentAGI : 32.3K32.3KGenOfficeGenOffice : 10.7K10.7KHolmesGPTHolmesGPT : 3.7K3.7KText-to-CADText-to-CAD : 22.9K22.9KYouTube Automation AgentYouTube Automation Agent : 4.6K4.6KRedAmonRedAmon : 3.2K3.2KPaperDebuggerPaperDebugger : 1.5K1.5K
Log scale; PaperDebugger in orange. Checked October 25, 2026.

PaperDebugger and other business agents at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

Quick comparison: business agents
AgentModelScoreStars or entry priceSelf-hostableHuman approval
PaperDebuggeropen source401.5K ★––
DeepTutoropen source8242.5K ★yes–
Vibe-Tradingopen source8136.5K ★yes–
PentAGIopen source7732.3K ★yesno
GenOfficeopen source7410.7K ★yes–
HolmesGPTopen source743.7K ★yes–
Text-to-CADopen source7322.9K ★––
YouTube Automation Agentopen source734.6K ★yesyes

How we rated it

Score: 40/100, computed only from public, verifiable data, with no subjective testing or partnership:

  • Adoption 14/40: 1,546 stars on a log scale (40 points from about 200,000).
  • Activity 11/30: last commit 4 months ago, 0 releases in six months, 215 commits in a year.
  • Framework 15/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.

Verdict

PaperDebugger is a project to watch: compare it with the alternatives before adopting it.

Limitations

  • Tied to a single model provider (GPT (OpenAI))

Frequently asked questions

Is PaperDebugger free?

The software is free (AGPL-3.0 licence). You still pay for the model calls, unless you use a local model.

Is PaperDebugger safe?

Our risk level: low. Give it minimum rights and approve irreversible actions.

Which models does PaperDebugger use?

According to its documentation: GPT (OpenAI).

Can PaperDebugger be installed on your own server?

This is not clearly documented: check with the vendor.

What are the alternatives to PaperDebugger?

In the same family: DeepTutor, Vibe-Trading, PentAGI, and GenOffice.

PaperDebugger or DeepTutor: what is the difference?

Both belong to the business agents family. PaperDebugger has 1.5K stars against 42.5K for DeepTutor. The right choice mostly depends on the access you are willing to give it.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score