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Business agents · AI agent

OpenChatCut: review, pricing, security and alternatives

OpenChatCut is an open-source AI agent published by 0xsline, in the business agents family. OpenChatCut edits videos through conversation, combining a multitrack timeline, agent skills and Remotion rendering. Its repository has 2,654 stars and its last commit is from October 21, 2026.

Open sourceSelf-hostableActively maintainedLow risk

What OpenChatCut does

OpenChatCut belongs to the business agents family: agents specialised in one job: customer support, sales, finance, legal, HR, security. On our grid it ranks #14 of the 52 projects of this family listed in the directory.

You use it from: desktop app. It can run on your own machine or server.

Who is OpenChatCut 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 your data must stay on your machines.

Access and human control

According to its documentation, OpenChatCut can:

  • read and edit files

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, OpenChatCut's access.

OpenChatCut pricing

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

Getting started with OpenChatCut

  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 July 15, 2026, the 0xsline/OpenChatCut repository has 2,654 stars, 405 forks and 13 open issues, with 1,100 commits in total. It received changes this month.

Over the last 52 weeks: 976 commits, an average of 18.8 per week.

Nov 2, : 0 · Nov 2, 2025Nov 2,Nov 9, : 0 · Nov 9, 2025Nov 16, : 0 · Nov 16, 2025Nov 23, : 0 · Nov 23, 2025Nov 30, : 0 · Nov 30, 2025Dec 7, : 0 · Dec 7, 2025Dec 14, : 0 · Dec 14, 2025Dec 21, : 0 · Dec 21, 2025Dec 28, : 0 · Dec 28, 2025Dec 28,Jan 4, : 0 · Jan 4, 2026Jan 11, : 0 · Jan 11, 2026Jan 18, : 0 · Jan 18, 2026Jan 25, : 0 · Jan 25, 2026Feb 1, : 0 · Feb 1, 2026Feb 8, : 0 · Feb 8, 2026Feb 15, : 0 · Feb 15, 2026Feb 22, : 0 · Feb 22, 2026Feb 22,Mar 1, : 0 · Mar 1, 2026Mar 8, : 0 · Mar 8, 2026Mar 15, : 0 · Mar 15, 2026Mar 22, : 0 · Mar 22, 2026Mar 29, : 0 · Mar 29, 2026Apr 5, : 0 · Apr 5, 2026Apr 12, : 0 · Apr 12, 2026Apr 19, : 0 · Apr 19, 2026Apr 19,Apr 26, : 0 · Apr 26, 2026May 3, : 0 · May 3, 2026May 10, : 0 · 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, : 0 · Jun 28, 2026Jul 5, : 0 · Jul 5, 2026Jul 12, : 0 · Jul 12, 2026Jul 19, : 0 · Jul 19, 2026Jul 26, : 50 · Jul 26, 2026Aug 2, : 77 · Aug 2, 2026Aug 9, : 226 · Aug 9, 2026Aug 9,Aug 16, : 233 · Aug 16, 2026Aug 23, : 74 · Aug 23, 2026Aug 30, : 46 · Aug 30, 2026Sep 6, : 76 · Sep 6, 2026Sep 13, : 65 · Sep 13, 2026Sep 20, : 21 · Sep 20, 2026Sep 27, : 13 · Sep 27, 2026Oct 4, : 57 · Oct 4, 2026Oct 4,Oct 11, : 15 · Oct 11, 2026Oct 18, : 9 · Oct 18, 2026Oct 25, : 14 · Oct 25, 2026Oct 25,
Commits per week on the main repository, last 52 weeks (GitHub API, checked October 25, 2026).

28 releases in total; 28 in the last twelve months. Latest release: v0.2.17, on October 15, 2026.

v0.1.8 · Aug 5, 2026v0.1.8Aug 5, 2026v0.1.9 · Aug 6, 2026v0.2.1 · Aug 11, 2026v0.2.0 · Aug 11, 2026v0.2.2 · Aug 13, 2026v0.2.3 · Aug 14, 2026v0.2.6 · Aug 17, 2026v0.2.5 · Aug 17, 2026v0.2.4 · Aug 17, 2026v0.2.7 · Aug 18, 2026v0.2.8 · Aug 19, 2026v0.2.9 · Aug 20, 2026v0.2.10 · Aug 24, 2026v0.2.11 · Aug 25, 2026v0.2.13 · Aug 31, 2026v0.2.12 · Aug 31, 2026v0.2.14 · Sep 4, 2026v0.2.15 · Sep 28, 2026v0.2.16 · Oct 7, 2026v0.2.17 · Oct 15, 2026v0.2.17Oct 15, 2026
The latest 20 releases published on GitHub (hover a point for details).

OpenChatCut 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 : 3.2K3.2KOpenChatCutOpenChatCut : 2.7K2.7K
Log scale; OpenChatCut in orange. Checked October 25, 2026.

OpenChatCut 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
OpenChatCutopen source672.7K ★yes–
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: 67/100, computed only from public, verifiable data, with no subjective testing or partnership:

  • Adoption 17/40: 2,654 stars on a log scale (40 points from about 200,000).
  • Activity 30/30: last commit less than a month ago, 28 releases in six months, 976 commits in a year.
  • Framework 20/30: 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

OpenChatCut is a serious option; check the limitations below before granting it access.

Strengths

  • Very active development
  • Frequent releases (28 in a year)
  • Can run on your side: data under control

Frequently asked questions

Is OpenChatCut free?

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

Is OpenChatCut safe?

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

Which models does OpenChatCut use?

Its documentation does not specify the supported models.

Can OpenChatCut be installed on your own server?

Yes, from the 0xsline/OpenChatCut repository. Data then stays with you, but security and updates are your job.

What are the alternatives to OpenChatCut?

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

OpenChatCut or DeepTutor: what is the difference?

Both belong to the business agents family. OpenChatCut has 2.7K 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