Mem0, CleverChatty, AI, memory
In this post, I’ll walk through how to integrate the [Mem0](https://github.com/mem0ai/mem0) memory model with [CleverChatty-CLI](https://github.com/Gelembjuk/cleverchatty-cli), a command-line framework for building AI assistants.
**Spoiler:** It turned out to be a lot easier than I expected.
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## Quick Overview of the Projects
Before we dive into the integration, here’s a quick recap of the two key components involved:
* **Mem0**
“Mem0” (pronounced *mem-zero*) adds an intelligent memory layer to AI assistants and agents. It enables personalized experiences by remembering us
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**CleverChatty**, a lightweight AI Chat tool supporting multiple LLM providers, now includes support for **Streamable HTTP** with MCP servers. This update enables more flexible and efficient communication with AI models, making integration with custom tools and services even smoother.
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## 🌐 What is CleverChatty?
[CleverChatty](https://github.com/Gelembjuk/cleverchatty) is a minimalist AI chat interface that works with various large language model (LLM) providers — including OpenAI, Anthropic, Google, and local models like Ollama. It’s designed for users and developers who want
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mcp, ai-orchestrator, ai-assistant, rag, ai-memory, ai-agents
Over the past couple of months, I’ve been experimenting with the Model Context Protocol (MCP) — building AI agents and tools around it. While the experience has been promising, I’ve noticed a few areas where MCP could be expanded or improved.
These aren’t critical issues, but adding them would make MCP more complete and developer-friendly.
Here’s my current wishlist:
1. **A Standard MCP Server Interface**
2. **Bidirectional Notifications**
3. **Built-in or Native Transport Layer**
Let’s walk through each of these in more detail.
## 1. A Standard MCP Server Interface
Several MC
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RAG, MCP, AI Orchestrator, CleverChatty, LLM, AI Assistant
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 Recap
* **RAG (Retrieval-Augmented Generation)** is an AI technique that enhances language models by retrieving relevant external documents (e.g., from databases or vector stores) based on a user’s query. These documents are then used as additional context during response generation, enabling more accurate, up-to-date, and grounded outputs.
* **MCP (Model Context Protocol)** is a standard
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the-end-of-the-holocene, the-competitor, ai, science-fiction
*This is the third part of the novella "The End of the Holocene". The [second part](/blog/post/the_hideout)*
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> *"He who fights with monsters should see to it that he does not become a monster himself"*
> *— Friedrich Nietzsche, "Beyond Good and Evil"*
In May 2030, a strange event occurred.
At dawn, a rocket was launched from a desert area in Mexico into space. The incident caused a stir among military forces and politicians around the world—most of all, in the United States. The rocket was large, and based on its trajectory, it was heading into space, not toward any target o
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