Mistral AI releases Agents API
The French AI startup Mistral AI has introduced a framework for building AI agents called Agents API. According to Mistral, it simplifies the implementation of agentic use cases.
The details
- The framework has built-in connectors for code execution, web search, image generation, and MCP tools. MCP stands for Model Context Protocol and is an open protocol to connect AI models to external systems.
- According to Mistral, the framework enables companies to build context-aware agentic software solutions. It can handle complex tasks and coordinate multiple actions.
- Additionally, you can orchestrate multiple agents to solve complex problems. Each agent has access to specific tools. There is no limit to the number of agents.
- In the blog post, Mistral AI shows several example implementations with the Agents API. For example, a financial analyst uses several MCP servers to get financial metrics and create a stock report.
Example: Financial Analyst Agent built with Agents API 👇🏽
Our thoughts
There are already several AI agent frameworks, such as AutoGen, AG2, crewAI, and Agno. The AI agent market is going to be BIG, we are sure of that. For this reason, more and more companies are trying to establish their own AI agent frameworks in the market.
Currently, Agents API only supports the AI models Mistral Medium and Mistral Large, but Mistral AI wants to support more models in the future.
Other frameworks like Agno are model-independent and offer similar functionalities to Agents API. We mostly use Agno because it is very easy to use and fast.
More information: 🔗 Mistral AI | GitHub
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Hand-picked articles of the week
- An Introduction to Anthropic’s Model Context Protocol (MCP) with Python
- Build a Local AI Agent to Chat with Financial Charts Using Agno
- Mastering the Capital Asset Pricing Model (CAPM) Using Python
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