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Building More Independent AI Agents: Let Them Plan for Themselves

16 May 2025

AI,agents,planning,autonomy,mcp

Building More Independent AI Agents: Let Them Plan for Themselves

I continue to explore one of my favorite topics: how to make AI agents more independent. This blog is my way of organizing ideas and gradually shaping a clear vision of what this might look like in pr

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Inside the LLM Black Box: What Goes Into Context and Why It Matters

12 May 2025

llm,context,AI,machine learning

Inside the LLM Black Box: What Goes Into Context and Why It Matters

Large Language Models (LLMs) like GPT-4, Claude, and Mistral appear to produce intelligent responses — but the magic lies in how they consume and interpret context. Understanding what goes into an L

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Adding Support for Retrieval-Augmented Generation (RAG) to AI Orchestrator

12 May 2025

rag,mcp,AI Orchestrator,CleverChatty,llm,AI Assistant

Adding Support for Retrieval-Augmented Generation (RAG) to AI Orchestrator

Good news! I've extended my lightweight AI orchestrator, CleverChatty, to support Retrieval-Augmented Generation (RAG) by integrating it using the Model Context Protocol (MCP).

Quick Reca

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Easily Switch Transport Protocols in MCP Servers

7 May 2025

transport,mcp,servers,programming

Easily Switch Transport Protocols in MCP Servers

I would like to expose one more benefit of the Model Context Protocol (MCP) — the ability to easily change the transport protocol. There are three different transport protocols available now, and each

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An Underrated Feature of MCP Servers: Client Notifications

6 May 2025

notifications,AI,mcp

An Underrated Feature of MCP Servers: Client Notifications

In recent months, the Model Context Protocol (MCP) has gained a lot of traction as a powerful foundation for building AI assistants. While many developers are familiar with its core request-response f

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Implementing AI Chat Memory with MCP

30 April 2025

Implementing AI Chat Memory with MCP

Recently, I introduced the idea of using MCP (Model Context Protocol) to implement memory for AI chats and assistants. The core concept is to separate the assistant's memory from its core logic, turni

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