Publié : 19 December 2025
Actualisé : 9 hours ago
Fiabilité : ✓ Sources vérifiées
Je mets à jour cet article dès que de nouvelles informations sont disponibles.
Tired of juggling between ChatGPT and your local folders? Imagine an AI assistant that searches your files and answers your questions directly from the command line. This is the promise of Deno and Mastra, a duo of JavaScript technologies that paves the way for personalized AI tools to manage your data. And, let’s be honest, it’s great news for those who, like me, spend their lives with their noses in their files!
🛠️ Deno and Mastra: the new tools of the AI agent
The article plunges us into the creation of a command-line AI agent capable of analyzing local files. The idea is simple: instead of manually importing your documents into an AI, you directly query your folders via a dedicated tool. The concrete example proposed is that of a company wishing to check the conformity of its Qualiopi files. Here’s how the agent is used:
The AI’s response is direct and precise: “almost, you need to retrieve the attendance sheets for the Mastra training session in January”. This is a considerable time saving compared to a manual analysis or the use of a general-purpose AI.
At the heart of this solution are two key technologies: Deno and Mastra.
⚙️ Deno: the modern alternative to Node.js
Deno is presented as an alternative to Node.js, a very popular JavaScript runtime environment. Imagine Deno as an engine that runs your JavaScript programs outside of a web browser. The advantage of Deno is its modernity. It corrects some of Node.js’s weaknesses and offers better security. Technically, Deno excels in “IO-bound” tasks, that is, those that involve a lot of data exchange (with databases, APIs, etc.).
Key Point: Deno is a modern JavaScript runtime, designed to offer a more secure and performant alternative to Node.js, particularly suitable for applications that require a lot of interaction with external data sources.
While Node.js has long reigned supreme, Deno brings a breath of fresh air and is attracting more and more developers. This growing adoption is a crucial scaling factor for the future of the JavaScript ecosystem.
🤔 Mastra: the agentic framework
Mastra, meanwhile, is presented as a framework dedicated to the creation of AI agents. A framework is a bit like a construction kit that provides you with the tools and basic building blocks to build your application. Mastra simplifies the development of AI agents by providing high-level abstractions and specific features. It allows you to create agents capable of making decisions, interacting with their environment and achieving specific goals.
🏛️ Architecture and Inference Challenges
The engineering perspective behind this AI agent is interesting. It relies on a simple architecture: a Deno script interacts with the Mistral API (a French language model) to analyze files and formulate a response. However, several challenges remain. The first is the cost of inference. Each request to the Mistral API has a cost, and analyzing large volumes of files can quickly become expensive. The second is latency. The AI’s response time can be a drag on productivity, especially if the analysis is complex.
However, this is where the shoe pinches: the article does not detail the optimization mechanisms put in place to minimize these costs and reduce latency. For example, caching analysis results or parallelizing requests could significantly improve performance.
🔮 Projection and Risks
The future of these command-line AI agents is promising, but it is important to consider the potential risks.
Optimistic Scenario: In the near future, these AI agents will become ubiquitous. Each professional will have their own personalized agent, capable of managing their files, automating repetitive tasks and assisting them in their decision-making. Integration with tools like Dropbox or Google Drive will be seamless, and inference costs will become negligible thanks to advances in AI and lower computing prices.
Pessimistic Scenario: The development of these AI agents will be hampered by security and privacy concerns. Companies will hesitate to entrust their sensitive data to tools they do not fully control. In addition, the complexity of configuring and maintaining these agents will limit their adoption to IT experts only. Finally, a vector attack could be exploited if the agent has write access to the file system.
❔ Frequently Asked Questions
Basically, what’s the point of Deno and Mastra for me if I work with a lot of files?
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