Paris-based Mistral has just rolled out their Agents API, through which it aims to make AI “more capable, useful, and an active problem-solver.”
Today’s AI can talk a good game, but often falls flat when you need it to take real action. This new API gives AI the ability to do things like search the web or generate images, remember your previous conversations, and even coordinate multiple tasks.
Mistral shows off its new Agents API
Mistral showed off some pretty cool examples that might give you a better picture:
- A coding buddy that can work with GitHub, writing code and managing development tasks
- A project assistant that turns meeting notes into organised task lists
- A financial advisor that gathers financial data and provides insights you can actually use
- A travel planner to help organise your next vacation without the usual stress
- A nutrition coach to help you eat better
Each of these examples shows how AI can move beyond just answering questions to becoming helpful in everyday situations.
What makes these agents useful? Mistral’s Agents API features some powerful built-in capabilities:
- Code execution: They can run Python code to crunch numbers or analyse data
- Image creation: Need a visual? The AI can generate images using FLUX1.1
- Document access: The agents can pull information from documents you’ve uploaded
- Web search: Unlike many AI systems that are stuck in the past, these agents can search the web for current information
Adding web search alone made a massive difference in how smart these systems appear. In one test, Mistral’s Large model jumped from getting 23% of answers right to a much more impressive 75% when it could search the web.
I know what you did last summer week
One of the most frustrating things about using AI assistants is having to repeat yourself constantly. Through the Agents API, Mistral fixes this with “persistent memory.”
The AI remembers your previous conversations, so you can pick up where you left off – even days later. It’s like the difference between talking to a person with amnesia versus a friend who remembers what you told them last week.
Developers can also branch conversations in different directions from any starting point, like those “choose your own adventure” books many of us loved as kids.
Teamwork makes the dream work
However, perhaps the coolest feature is how these AI agents can work together. Mistral calls this “orchestration,” but it’s basically just teamwork.
Imagine asking a question that requires multiple steps. Instead of one AI fumbling through all the tasks, a main agent can call in a team—one agent searches the web for information, another crunches numbers, while a third creates a visualisation. It’s like having a workforce of specialists rather than a single overwhelmed worker.
“The true power of our Agents API lies in its ability to orchestrate multiple agents to solve complex problems,” Mistral explains. “Through dynamic orchestration, agents can be added or removed from a conversation as needed—each one contributing its unique capabilities to tackle different parts of a problem.”
As developers harness the Agents API from Mistral, the trickle-down effect could mean more capable AI assistants for everyone. Instead of just answering questions, future AI might actually help you accomplish real tasks: booking appointments, researching options, creating content, or analysing information.
The days of AI being all talk and no action might finally be coming to an end. And for anyone who’s ever gotten frustrated asking their smart assistant to do something actually useful, that’s very good news indeed.
(Image credit: Mistral)
See also: JetBrains reveals Kotlin 2.2, Amper, AI tools at KotlinConf 2025
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