Creating an AI agent in 2025: Which solutions to explore?

The AI agent revolution is in full swing in 2025, offering enthusiasts and professionals alike a multitude of options for building autonomous intelligent assistants. This guide presents an overview of current solutions, from accessible no-code platforms to advanced development frameworks, specialized tools and cloud services.

The burgeoning ecosystem of AI agents

AI agents today represent the most exciting frontier in artificial intelligence. Unlike simple generative models, these tools can observe their environment, make autonomous decisions and act to accomplish complex goals.

In 2025, the ecosystem will diversify considerably, with solutions adapted to all levels of expertise and all use cases.

According to the latest data from PitchBook, investment in startups developing AI agent technologies reached $8.7 billion in the first quarter of 2025, an increase of 143% year-on-year.

This explosion reflects the enormous potential for these technologies to transform our relationship with AI technos.

Manus AI: The agent that takes control of your computer

Manus AI represents one of the most ambitious approaches to AI agents. Unlike previous solutions that work primarily through text-based interactions, Manus can literally take control of your computer to perform complex tasks.

Key features:

• Direct control of the Windows or macOS user interface
• Ability to interact with any existing application
• Learning by demonstration (user shows once, agent reproduces)
• Integrated computer vision to understand on-screen content
• Dynamic adaptation to interface changes
• Multi-factor authentication for enhanced security
• Detailed logging of all actions performed by the agent

Manus AI is particularly well suited to automating complex workflows involving several different applications.

For example, it can extract data from an email, format it in Excel, then import it into a CRM while generating a summary report.

N8N : Orchestrating complex workflows with AI

N8N has established itself as a benchmark in the field of AI-enhanced automation. This open-source platform enables the creation of visual workflows that orchestrate interaction between different services, including AI models.

Key features:

• Visual drag-and-drop interface for creating workflows
• Over 300 predefined integrations with popular services
• Specific nodes for OpenAI, Mistral, Anthropic, and other AI providers
• Ability to create conditional loops and complex forks
• Support for batch processing and parallel operations
• Advanced error and exception handling
• Flexible deployment (cloud, Docker container, or local installation)

N8N’s strength lies in its ability to combine several AI technologies with traditional systems.

For example, a workflow might monitor a Dropbox folder, automatically process new documents with an LLM to extract key information, then update a database and send a notification to Slack.

The cloud version offers a freemium model, with paid plans starting at $20 per month for advanced features.

The self-hosted version remains entirely free for personal use, making it an attractive option.

CrewAI : Orchestrating teams of specialized agents

CrewAI represents an innovative approach based on collaboration between specialized agents. This framework makes it possible to create “teams” of AI agents, each with its own roles, skills and goals, that work together to solve complex problems.

Key features:

• Defining specific roles and responsibilities for each agent
• Supervision and coordination mechanisms between agents
• Voting and consensus systems for collective decision-making
• Inter-agent communication tools simulating human interactions
• Self-criticism and mutual evaluation skills
• Support for sequential, hierarchical and asynchronous workflows
• Visualization of interactions and information flows between agents

CrewAI particularly excels in complex scenarios requiring diversified expertise. For example, a research project might involve a literature search agent, a data analyst, a domain expert, and a writer working together to produce a comprehensive report.

The business model combines a community open-source version and a CrewAI Cloud offering with premium features, including automatic team optimization and access to pre-trained agents for specific domains.

Operator from OpenAI: The next-generation actionable agent

Officially launched in January 2025 after a limited testing period, Operator represents OpenAI’s vision for actionable agents in the digital world. Unlike other OpenAI solutions, Operator is specifically designed for the automation of concrete tasks involving third-party services.

Key features:

• Ability to navigate the web and interact with user interfaces
• Advanced understanding of web page structures and forms
• Secure integrations with over 50 popular services (Booking.com, Amazon, etc.)
• Management of authentication and payment information
• Enhanced security with mandatory confirmations for critical actions
• Detailed and transparent action history
• Conversational interface enabling real-time adjustments

Operator excels at tasks such as booking flights or hotels, online shopping, calendar management, or compiling information from multiple web sources. For example, the agent can search and compare car rental offers according to specific criteria, then finalize the booking in a matter of minutes.

The service is offered on a monthly subscription basis ($35 for individuals, sliding scale rates for businesses) with limitations on the number of shares per month.

Claude.ai and Computer Use

Anthropic has revolutionized the market with its “Computer Use” functionality integrated into Claude. This capability transforms Claude from a simple conversational assistant into a true agent capable of interacting directly with your computer.

Key features:

• Autonomous web browsing: Claude can search the web for information in real time, consult multiple sources and synthesize the results.
• File handling: the wizard can analyze, modify and create documents in various formats (text, PDF, spreadsheets).
• Interaction with interfaces: Claude navigates web applications like a human user, filling in forms or performing specific actions.

Strengths: Security is at the heart of Anthropic’s system. All Claude’s actions are visible in real time and require validation for sensitive operations. According to recent tests by the Stanford AI Lab, Claude achieves an accuracy rate of 94% in the execution of complex web tasks, outperforming many competitors.

Limitations: Functionality remains limited to web and desktop environments, with no access to mobile applications. In addition, the Claude Pro subscription ($29.99/month in 2025) is required to take full advantage of these capabilities.

Ideal use case: Claude particularly excels at searching for complex information, analyzing and synthesizing documents, and automating repetitive administrative tasks.

LangChain : The framework for advanced AI agents

LangChain has established itself as the reference infrastructure for developers wishing to build sophisticated AI applications. In 2025, the framework has evolved considerably to specifically facilitate the creation of AI agents.

Key features:

• Modular architecture for building custom agents
• Complete libraries for Python and JavaScript/TypeScript
• Native support for over 40 different language models
• Specialized components for persistent memory and context management
• Transparent integration with vector databases (Pinecone, Weaviate, etc.)
• Integrated evaluation framework for testing agent performance
• Predefined tools for code execution, web search, and API interaction

LangChain offers several preconfigured agent architectures, such as the ReAct (Reasoning and Acting) agent, which alternates between thinking and acting phases, or the Plan-and-Execute agent, which breaks down tasks into sub-goals before processing them.

The LangChain Enterprise version, launched in January 2025, adds crucial features for professional deployments: advanced monitoring, enhanced security controls, and managed deployment services.

AutoGPT 3.0: The open source autonomous agent

A major evolution of the original project, by 2025 AutoGPT 3.0 has become the benchmark open source solution for creating truly autonomous AI agents.

Key features:

• Modular architecture: unlike previous versions, AutoGPT 3.0 adopts a structure that makes it easy to add new capabilities.
• Advanced vector memory: the agent maintains a consistent context over extended interactions thanks to its optimized storage system.
• Marketplace of extensions: Over 2,500 community-created add-ons considerably extend its capabilities.
• Multi-model compatibility: Works with GPT-4o, Claude 3 Opus, or Gemini Ultra, depending on your preference.

Strengths: The open source nature guarantees total transparency and exceptional scalability. The active community (over 150,000 contributors by 2025) ensures continuous development and rapid problem resolution. Its cost remains minimal, limited to the APIs of the underlying models.

Limitations: Installation and configuration require technical knowledge, despite recent efforts to simplify the process. Stability may vary depending on the extensions used.

Ideal use case: Perfect for developers wanting a highly customizable solution, startups with a limited budget, or projects requiring maximum transparency.

Choose the right solution for your needs

The AI agent landscape in 2025 offers a wealth of solutions that testify to the growing maturity of this field. To choose the platform best suited to your needs, there are several criteria to consider:

• Technical requirements: From no-code solutions like OpenAI’s GPTs to development frameworks like LangChain, the range of technical prerequisites is wide.
• Desired degree of autonomy: Some platforms like Operator and Manus AI allow almost total autonomy, while others offer more human control.
• Specific use cases: Voice agents from ElevenLabs, conversational assistants from Anthropic or interface automation agents from Adept meet different needs.
• Budget available: Costs vary considerably, from free open-source solutions to enterprise platforms at several thousand dollars per month.
• Compliance requirements: European solutions like Mistral may be preferable for organizations subject to RGPD.

The rapid evolution of the field suggests that new solutions will continue to emerge throughout 2025.

The most promising trends include the enhancement of multi-modal capabilities, the strengthening of self-supervision mechanisms, and the emergence of interoperability standards between different agent platforms.

We are witnessing a fundamental transformation in our relationship with technology, where IT systems are becoming true collaborators capable of initiative and adaptation.