Business agents · agent platform
Deskcomm CRM: review, pricing, security and alternatives
Deskcomm CRM is an open-source agent platform published by Deskcomm, in the business agents family. Combines a self-hosted CRM, AI agents and WhatsApp to manage sales conversations across multiple businesses. Its repository has 4,832 stars and its last commit is from October 24, 2026.
What Deskcomm CRM does
Deskcomm CRM belongs to the business agents family: agents specialised in one job: customer support, sales, finance, legal, HR, security. On our grid it ranks #12 of the 52 projects of this family listed in the directory.
You use it from: web app and messaging (Telegram, Slack, WhatsApp…). It can run on your own machine or server.
Who is Deskcomm CRM 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 to talk to it from your usual messaging app, without opening another app, you prefer doing everything in a browser, with no install, and your data must stay on your machines.
Access and human control
According to its documentation, Deskcomm CRM can:
- read and send messages
We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.
Deskcomm CRM pricing
The code is free, under the MIT licence.
Getting started with Deskcomm CRM
- Install it: the project ships as a Node.js package (install with
npm, or run directly withnpx). The exact command is in the repository README. - Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
- 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.
- 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 28, 2026, the melgarafael/DeskcommCRM repository has 4,832 stars, 1,341 forks and 270 open issues, with 14,464 commits in total. It received changes this month.
Over the last 52 weeks: 19,746 commits, an average of 379.7 per week.
114 releases in total; 30 in the last twelve months. Latest release: v1.89.0, on October 24, 2026.
Deskcomm CRM 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.
Deskcomm CRM 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.
| Agent | Model | Score | Stars or entry price | Self-hostable | Human approval |
|---|---|---|---|---|---|
| Deskcomm CRM | open source | 70 | 4.8K ★ | yes | – |
| DeepTutor | open source | 82 | 42.5K ★ | yes | – |
| Vibe-Trading | open source | 81 | 36.5K ★ | yes | – |
| PentAGI | open source | 77 | 32.3K ★ | yes | no |
| GenOffice | open source | 74 | 10.7K ★ | yes | – |
| HolmesGPT | open source | 74 | 3.7K ★ | yes | – |
| Text-to-CAD | open source | 73 | 22.9K ★ | – | – |
| YouTube Automation Agent | open source | 73 | 4.6K ★ | yes | yes |
How we rated it
Score: 70/100, computed only from public, verifiable data, with no subjective testing or partnership:
- Adoption 20/40: 4,832 stars on a log scale (40 points from about 200,000).
- Activity 30/30: last commit less than a month ago, 30 releases in six months, 19,746 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
Deskcomm CRM is a serious option; check the limitations below before granting it access.
Strengths
- Very active development
- Frequent releases (30 in a year)
- Can run on your side: data under control
- Permissive licence (MIT)
Avoid if…
- It would access personal or bank accounts unattended
Alternatives
- DeepTutor42.5K ★
- Vibe-Trading36.5K ★
- PentAGI32.3K ★
- GenOffice10.7K ★
- HolmesGPT3.7K ★
- Text-to-CAD22.9K ★
Learn more
Frequently asked questions
Is Deskcomm CRM free?
The software is free (MIT licence). You still pay for the model calls, unless you use a local model.
Is Deskcomm CRM safe?
Our risk level: mid. Give it minimum rights and approve irreversible actions.
Which models does Deskcomm CRM use?
Its documentation does not specify the supported models.
Can Deskcomm CRM be installed on your own server?
Yes, from the melgarafael/DeskcommCRM repository. Data then stays with you, but security and updates are your job.
What are the alternatives to Deskcomm CRM?
In the same family: DeepTutor, Vibe-Trading, PentAGI, and GenOffice.
Deskcomm CRM or DeepTutor: what is the difference?
Both belong to the business agents family. Deskcomm CRM has 4.8K 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