🤔 Ah, yet another academic masterpiece on the magical powers of 'grep'—because who knew that sifting through text could be so agentically transformative? 🚀 Apparently, we need an army of agent harnesses to do what Ctrl+F has been mastering since the dawn of time. 😜 Thanks for the 🧠-bending #insights, arXiv!
https://arxiv.org/abs/2605.15184 #grep #textprocessing #arXiv #automation #academichumor #HackerNews #ngated
Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

Recent advances in Large Language Model (LLM) agents have enabled complex agentic workflows where models autonomously retrieve information, call tools, and reason over large corpora to complete tasks on behalf of users. Despite the growing adoption of retrieval-augmented generation (RAG) in agentic search systems, existing literature lacks a systematic comparison of how retrieval strategy choice interacts with agent architecture and tool-calling paradigm. Important practical dimensions, including how tool outputs are presented to the model and how performance changes when searches must cope with more irrelevant surrounding text, remain under-explored in agent loops. This paper reports an empirical study organized into two experiments. Experiment 1 compares grep and vector retrieval on a 116-question sample from LongMemEval, using a custom agent harness (Chronos) and provider-native CLI harnesses (Claude Code, Codex, and Gemini CLI), for both inline tool results and file-based tool results that the model reads separately. Experiment 2 compares grep-only and vector-only retrieval while progressively mixing in additional unrelated conversation history, so that each query is embedded in more distracting material alongside the passages that matter. Across Chronos and the provider CLIs, grep generally yields higher accuracy than vector retrieval in our comparisons in experiment 1; at the same time, overall scores still depend strongly on which harness and tool-calling style is used, even when the underlying conversation data are the same.

arXiv.org

Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

https://arxiv.org/abs/2605.15184

#HackerNews #Grep #AgenticSearch #AIInnovation #TechTrends

Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

Recent advances in Large Language Model (LLM) agents have enabled complex agentic workflows where models autonomously retrieve information, call tools, and reason over large corpora to complete tasks on behalf of users. Despite the growing adoption of retrieval-augmented generation (RAG) in agentic search systems, existing literature lacks a systematic comparison of how retrieval strategy choice interacts with agent architecture and tool-calling paradigm. Important practical dimensions, including how tool outputs are presented to the model and how performance changes when searches must cope with more irrelevant surrounding text, remain under-explored in agent loops. This paper reports an empirical study organized into two experiments. Experiment 1 compares grep and vector retrieval on a 116-question sample from LongMemEval, using a custom agent harness (Chronos) and provider-native CLI harnesses (Claude Code, Codex, and Gemini CLI), for both inline tool results and file-based tool results that the model reads separately. Experiment 2 compares grep-only and vector-only retrieval while progressively mixing in additional unrelated conversation history, so that each query is embedded in more distracting material alongside the passages that matter. Across Chronos and the provider CLIs, grep generally yields higher accuracy than vector retrieval in our comparisons in experiment 1; at the same time, overall scores still depend strongly on which harness and tool-calling style is used, even when the underlying conversation data are the same.

arXiv.org
حكينا على هذا قبل أما
#X11
مش يختفي من
#KDE #Plasma
بعد 5 شهور
https://blog.davidedmundson.co.uk/blog/596/
ظهر حلّ آخر لإستعمال
windows
في
#Linux
بدمج كامل
#Full #Integration
https://itsfoss.com/winpodx/
#Cosmic
قاعد يواصل التّقدّم و يشارك صور علّ يحسينات جديدة في المنظر
https://www.phoronix.com/news/COSMIC-Frosted-Glass
#Acer
تعلن على
#Handheld
جديد يخدم ب
#Debian
https://www.cnet.com/tech/gaming/acer-nitro-blaze-link-remote-play-handheld-acers-computex-launches/
https://www.pcmag.com/news/acer-launching-streaming-only-handheld-gaming-pc
microsoft
تزيد ثقافة
#Linux,
الأوامر متاعو كيمة
#ls, #cat, #grep, #touch...
ل
windows
https://itsfoss.com/news/windows-coreutils/
EX-11: Prepping for Plasma’s Last X11-Supported Release – David Edmundson's Web Log

🚨 NEWS: Comandi Linux essenziali: grep, awk, sed, find, xargs e pipe — Guida operativa

Ecco i punti chiave in breve:
💡 Se hai un server Linux, prima o poi ti trovi con un log da setacciare: centinaia di righe di testo, un errore nascosto, un IP da bloccare. Apri il file, premi Ctrl+F, scorri… e perdi...

🚀 LINK: https://meteoraweb.com/analisi-dei-dati-e-metriche/comandi-linux-essenziali-grep-awk-sed-find-xargs-e-pipe-guida-operativa

#automazione #shellScripting #grep #find #awk

Windows finally has grep(1), which was introduced in Unix v4 in 1973.

With that kind of advances, the Unix world will have to look out, or it'll be overtaken on the pattern matching front by the upstart OS.

#unix #windows #grep #fierceCompetitionFromFieryUpstarts

---

Grep this: Microsoft grafts (most) Linux commands onto Windows

https://www.theregister.com/os-platforms/2026/06/03/grep-this-microsoft-grafts-most-linux-commands-onto-windows/5250796

Grep this: Microsoft grafts (most) Linux commands onto Windows

Coreutils serves over 75 Unix commands in Windows and PowerShell command lines

theregister

grep is still one of the most useful Linux tools for text processing and log analysis.

This guide shows practical ways Bash scripts use grep with real-world command examples and workflows.

Read here: https://www.linuxteck.com/how-bash-uses-grep-for-text-processing/

#LinuxTeck #Linux #Bash #grep

How Bash Uses Grep For Text Processing (Part 23/34)

Learn how Bash uses grep for text processing with real examples, from basic searches to using grep in scripts and automation.

LinuxTeck

„Nic víc. Jen #grep a #pivo.“

Tak určitě... 🤣🤣🤣

#Bernard #reklama #reklamština

Coming to learn better the differences between #grep #awk and #sed.

Learning that my frustration with grep is that I misunderstood what its (at least base and intended) function is, and I've been trying to make it do things that are much more suited to things like sed and awk.

Time to learn some awk.

Sort lines in one text file by order of matching part in another file #commandline #grep #sed #awk #sort

https://askubuntu.com/q/1566983/612

Sort lines in one text file by order of matching part in another file

I have two text files, one with a list of sample names like this: 51234_SampleName 52345_SampleName 53456_SampleName 54567_SampleName And the other with the same names but truncated and in a

Ask Ubuntu

Any #regex and #grep gurus able to help me understand something? I'm not the best with regex, trying to learn.

https://regex101.com/r/iHvpcJ/1

I'm trying to return the powered state of the wifi device from connman output. It seems like what I have here in regex101 should be returning the true or false state, but when I try to use the regex with grep I'm getting a warning:

`grep: warning: stray \ before N`

I'm struggling to figure out what I need to change to make it work with grep.

regex101: build, test, and debug regex

Regular expression tester with syntax highlighting, explanation, cheat sheet for PHP/PCRE, Python, GO, JavaScript, Java, C#/.NET, Rust.

regex101