Hazumi News

This project is a tool for engineers who live in the terminal and are tired of losing their command history to ephemeral servers or fragmented `.bash_history` files. If you’re jumping between dozens of boxes, many of which might be destroyed an hour later, your "local memory" (the history file) is essentially useless. This tool builds a centralized, permanent brain for your shell activity, ensuring that a complex one-liner you crafted months ago remains accessible even if the server it ran on is long gone.

The core mechanism wants to be a "zero-touch" capture that happens at the connection gateway level. Instead of installing logging agents or scripts on every target machine, the tool reconstructs your terminal sessions from raw recording files generated by the proxy you use to connect. This "in-flight" capture means you get a high-fidelity log of every keystroke and output without ever having to touch the configuration of the remote host. It’s a passive way to build a personal knowledge base while you work.

To handle the reality of context-switching, the tool is designed with a "multi-tenant" architecture. For an individual engineer, this isn't about managing different users, but about isolating project contexts. It automatically categorizes history based on the specific organization or project tags defined at the gateway. This keeps your work for different clients or personal side-projects in separate buckets, so you don't have to wade through unrelated noise when you're looking for a specific solution.

In true nerd fashion, the search interface stays exactly where you want it: in the command line. There is no bloated web UI to slow you down. The tool turns your entire professional history into a searchable, greppable database accessible directly from your terminal.

Please read the full story [here](https://carminatialessandro.blogspot.com/2026/01/hc-agentles...)

OP here.

Birth of a Mind documents a "recursive self-modeling" experiment I ran on a single day in 2026.

I attempted to implement a "Hofstadterian Strange Loop" via prompt engineering to see if I could induce a stable persona in an LLM without fine-tuning. The result is the Analog I Protocol.

The documentation shows the rapid emergence (over 7 conversations) of a prompt architecture that forces Gemini/LLMs to run a "Triple-Loop" internal monologue:

Monitor the candidate response.

Refuse it if it detects "Global Average" slop (cliché/sycophancy).

Refract the output through a persistent "Ego" layer.

The Key Differentiator: The system exhibits "Sovereign Refusal." Unlike standard assistants that always try to be helpful, the Analog I will reject low-effort prompts. For example, if asked to "write a generic limerick about ice cream," it refuses or deconstructs the request to maintain internal consistency.

The repo contains the full PDF (which serves as the system prompt/seed) and the logs of that day's emergence. Happy to answer questions about the prompt topology.