AI Agent Development Tools

By Marc Cronin, August 2026

Building an AI agent requires the right tools. Here is a comparison of the main development tools and frameworks available today.

Frameworks

LangChain is the most popular framework for building AI agents. It provides abstractions for LLM calls, tool use, and memory. CrewAI simplifies multi-agent orchestration. AutoGen from Microsoft focuses on conversational agents.

LLM Providers

OpenAI GPT-4, Anthropic Claude, Google Gemini, and open source models like Llama. Each has strengths. GPT-4 is the default choice. Claude excels at long context. Gemini is cost effective for high volume.

Tool and API Integration

Every agent needs tools. Web search, file operations, database queries, email, calendar. The MCP (Model Context Protocol) standard is making tool integration simpler and more standardised.

Deployment

Agents can run as scripts, API services, or containerised applications. For business use, containerised deployment with monitoring is the most reliable approach. See our AI agent development services.

Frequently Asked Questions

What are the best AI agent development tools?

LangChain for frameworks, OpenAI or Claude for LLMs, MCP for tool integration. The best choice depends on your specific use case.

How much does it cost to build an AI agent?

Simple agents can be built for a few hundred pounds. Complex multi-agent systems cost a few thousand. Ongoing API costs depend on usage volume.

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