---
title: "Akshay's Tweet on X with a Link"
url: https://stacklist.com/card/5e043610-6f51-48d8-8b01-acc3bacacef1
source_url: "https://x.com/akshay_pachaar/status/2041146899319971922?s=12"
stack: https://stacklist.com/c/technology/stack/c2c2815c-3480-42f0-ab57-4c304b523d82
summary: "Akshay Pachaar shares an article analyzing the anatomy of agent harnesses built by major AI companies. The piece covers orchestration loops, tools, memory, and context management that power modern AI agents."
tags: "agent-harness, ai-orchestration, llm-architecture, anthropic, openai, langchain"
key_entities: "Akshay Pachaar (person), Anthropic (organization), OpenAI (organization), Perplexity (organization), LangChain (organization), Agent Harness (technology), orchestration-loop (concept), context-management (concept)"
classification: "analysis"
content_hash: "sha256:8d991b08075f614fdc7f2c3b24f5367f9186fda88f04eec078dd533c76d7f5e2"
acp_version: "0.2"
token_counts_approximate: 557
visibility: public
agent_accessible: true
status: "final"
---

# Akshay's Tweet on X with a Link

Akshay 🚀 @akshay_pachaar Article The Anatomy of an Agent Harness A deep dive into what Anthropic, OpenAI, Perplexity and LangChain are actually building. Covering the orchestration loop, tools, memory, context management, and everything else that transforms a... 1:31 PM · Apr 6, 2026 2.2M Views :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 7 7 :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 77 :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 5 4 5 :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 545 :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 3 . 2 K :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 3.2K :host{display:inline-block;direction:ltr;white-space:nowrap;line-height:1}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre} 7 . 9 K :where(number-flow-react){line-height:1}number-flow-react > span{font-kerning:none;display:inline-block;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2) 0} 7.9K Read 77 replies