Product updates, model launches, and practical insights on open source AI infrastructure in Europe.
AI agent architecture is simpler than the hype suggests: a model in a loop with tools. We compare LangGraph, CrewAI, OpenAI Agents SDK, AutoGen and MCP.
AI agents can now build entire software products — writing code, running tests, and deploying to production — with minimal human oversight. Yet the same agent that writes flawless code in one session can hallucinate APIs, forget instructions, or spiral into confusion in the next. The difference isn't the model. It's the context. Welcome to the era of <strong>context engineering</strong>.
Your team picked the best AI model on the market. Six weeks later, the agent still breaks on complex tasks, loses context halfway through, and occasionally runs destructive commands. You're debating whether to switch models. The real problem? You haven't built the right harness yet.
Anthropic's new Model Hardware Standard lets AI agents run lab robots and machines, while MCP connects models to software tools. Different layers, not rivals.
Your AI agents degrade as context grows. Recursive Language Models from MIT offer a different approach — here is when to consider it and when to wait.
In the day-to-day work of developers, AI-assisted coding has mostly meant autocomplete up until now. A developer wrote code, and the assistant suggested the next line or function. Today, the center of gravity has moved to coding agents. This article maps the CLI-based AI agent landscape and explains what separates the main categories.
Access curated open-weight AI models on European infrastructure through an OpenAI-compatible API, without taking on the operational burden of self-hosting. Here is how AKI.IO fits that stack, and which tradeoffs to evaluate before migrating.
Moritz Gehrke is a member of Company Consulting Team e.V., Berlin’s student consulting organization. At CCT, he works on tech projects that connect modern AI tools with real organizational needs, with a focus on usable, privacy-aware systems in practice. A practical example of how a student consulting organization turned internal documents into a searchable AI knowledge base in just a few steps, using Open WebUI and the AKI.IO API on European infrastructure.
Let’s be honest: Europe did not win the race for general artificial intelligence. The United States and China are competing for dominance over frontier models — and with them, technological power.
Agentic AI is moving beyond chat into systems that can read files, edit code, call tools, browse the web, run terminal commands, and complete work across multiple steps.
A European AI API for teams that want EU-hosted inference with curated open-weight and open-source models such as Qwen, MiniMax, GPT-OSS, Llama, Apertus, Ministral, Flux.2, and more. Integrate through OpenAI- and Anthropic-compatible interfaces without self-hosting GPU infrastructure.
