--- title: "#agent-architecture articles | Hashnode" description: "Explore 100 articles tagged #agent-architecture on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/agent-architecture" --- Tag # #agent-architecture 100 posts · 0 followers [Danda Pranav Krishna](https://hashnode.com/@pranavkrishnadanda) · [Nov 4](https://hashnode.com/posts/building-a-self-planning-data-pipeline-agent-and-measuring-whether-it-s-actually-right/6aeaaa9dc6c5769a73e6b4f2) ### [Building a self-planning data pipeline agent, and measuring whether it's actually right](https://pranavkrishna.hashnode.dev/building-a-self-planning-data-pipeline-agent-and-measuring-whether-it-s-actually-right?utm_source=hashnode&utm_medium=feed) How Sluice repairs drifted data files with LLM agents, a locked-down sandbox and exact ground truth, on free-tier models TL;DR — Sluice is an open-source agentic data pipeline. A file arrives with dr 12 min read · [pranavkrishna.hashnode.dev](https://pranavkrishna.hashnode.dev/building-a-self-planning-data-pipeline-agent-and-measuring-whether-it-s-actually-right?utm_source=hashnode&utm_medium=feed) [2](https://hashnode.com/posts/building-a-self-planning-data-pipeline-agent-and-measuring-whether-it-s-actually-right/6aeaaa9dc6c5769a73e6b4f2) [aiFetchly](https://hashnode.com/@aifetchly) · [Oct 31](https://hashnode.com/posts/step-by-step-creating-custom-prompt-macros-in-aifetchly/6ae607408c1432ff61d536b5) ### [Step-by-Step: Creating Custom Prompt Macros in aiFetchly](https://aifetchly-app.hashnode.dev/step-by-step-creating-custom-prompt-macros-in-aifetchly?utm_source=hashnode&utm_medium=feed) Direct Answer: Developers eliminate repetitive prompt typing and standardize agent interactions by authoring custom slash command prompt macros in aiFetchly. By defining lightweight Markdown files wit 3 min read · [aifetchly-app.hashnode.dev](https://aifetchly-app.hashnode.dev/step-by-step-creating-custom-prompt-macros-in-aifetchly?utm_source=hashnode&utm_medium=feed) [aiFetchly](https://hashnode.com/@aifetchly) · [Oct 30](https://hashnode.com/posts/inside-plugin-manager-composable-agentic-extension-bundles/6ae4b8c886816145ecce0b67) ### [Inside Plugin Manager: Composable Agentic Extension Bundles](https://aifetchly-app.hashnode.dev/inside-plugin-manager-composable-agentic-extension-bundles?utm_source=hashnode&utm_medium=feed) Inside Plugin Manager: Composable Agentic Extension Bundles Direct Answer: The aiFetchly Plugin Manager provides developers with an integrated package management system that bundles AI Skills, Subage 3 min read · [aifetchly-app.hashnode.dev](https://aifetchly-app.hashnode.dev/inside-plugin-manager-composable-agentic-extension-bundles?utm_source=hashnode&utm_medium=feed) [Nash Hasan](https://hashnode.com/@edtechniti) · [Oct 24](https://hashnode.com/posts/autonomous-agent-architecture-mit-csail/6adc073903dcb3c3c9f7232c) ### [Beyond Rigid Optimization: What MIT CSAIL's Sandbox Experiments Mean for Agent Architecture](https://blog.edtechniti.com/autonomous-agent-architecture-mit-csail?utm_source=hashnode&utm_medium=feed) Autonomous agents achieve greater operational resilience when learning through open-ended sandbox play rather than brittle, over-engineered prompt scripts. 5 min read · [blog.edtechniti.com](https://blog.edtechniti.com/autonomous-agent-architecture-mit-csail?utm_source=hashnode&utm_medium=feed) [Xccelera AI](https://hashnode.com/@xccelera) · [Sep 21](https://hashnode.com/posts/inside-an-agentic-architecture-how-planning-and-execution-layers-work-together/6ab1153f6d81a9ee0801d368) ### [Inside an Agentic Architecture: How Planning and Execution Layers Work Together](https://xccelera.hashnode.dev/inside-an-agentic-architecture-how-planning-and-execution-layers-work-together?utm_source=hashnode&utm_medium=feed) See how agentic AI architecture unifies planning and execution layers into one governed workflow, from plain-English intent to a monitored agent. 7 min read · [xccelera.hashnode.dev](https://xccelera.hashnode.dev/inside-an-agentic-architecture-how-planning-and-execution-layers-work-together?utm_source=hashnode&utm_medium=feed) [Rajshree](https://hashnode.com/@rjshree) · [Aug 29](https://hashnode.com/posts/the-ai-agent-stack-what-actually-makes-an-agent-work/6a92f26bbce958bae64879dc) ### [The AI Agent Stack: What Actually Makes an Agent Work?](https://rjshree.hashnode.dev/the-ai-agent-stack-what-actually-makes-an-agent-work?utm_source=hashnode&utm_medium=feed) What actually makes an AI agent work? Explore the practical architecture behind modern AI agents—from LLMs and context to tools, memory, planning, state, guardrails, and evaluation. 13 min read · [rjshree.hashnode.dev](https://rjshree.hashnode.dev/the-ai-agent-stack-what-actually-makes-an-agent-work?utm_source=hashnode&utm_medium=feed) [ma michael](https://hashnode.com/@miachaelma) · [Aug 20](https://hashnode.com/posts/deepseek-harness-explained-what-is-an-agent-harness-and-can-it-replace-claude-code/6a86981a128d1ca868c692b7) ### [DeepSeek Harness Explained: What Is an Agent Harness—and Can It Replace Claude Code?](https://cloudsway.hashnode.dev/deepseek-harness-explained-what-is-an-agent-harness-and-can-it-replace-claude-code?utm_source=hashnode&utm_medium=feed) Learn what DeepSeek Harness is, how its plugin-based agent runtime works, and how DSH compares with Claude Code, Codex, and OpenCode. 10 min read · [cloudsway.hashnode.dev](https://cloudsway.hashnode.dev/deepseek-harness-explained-what-is-an-agent-harness-and-can-it-replace-claude-code?utm_source=hashnode&utm_medium=feed) [Manu Shukla](https://hashnode.com/@mr-manushukla) · [Aug 7](https://hashnode.com/posts/mcp-vs-a2a-in-2026-5-tests-for-whether-you-need-agent-to-agent-protocol/6a75b9d303601b4cd006e86b) ### [MCP vs A2A in 2026: 5 tests for whether you need agent-to-agent protocol](https://ecorpit.hashnode.dev/mcp-vs-a2a-in-2026-5-tests-for-whether-you-need-agent-to-agent-protocol?utm_source=hashnode&utm_medium=feed) MCP vs A2A in 2026: 5 tests for whether you need agent-to-agent protocol Summary. The two protocols solve different problems and most teams need only one. The Model Context Protocol connects an agent 17 min read · [ecorpit.hashnode.dev](https://ecorpit.hashnode.dev/mcp-vs-a2a-in-2026-5-tests-for-whether-you-need-agent-to-agent-protocol?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/mcp-vs-a2a-in-2026-5-tests-for-whether-you-need-agent-to-agent-protocol/6a75b9d303601b4cd006e86b) [Maverick](https://hashnode.com/@maverick48) · [Aug 4](https://hashnode.com/posts/api-vs-mcp-interoperability-trade-offs-for-ai-systems/6a719740af68c624840e9edb) ### [API vs MCP: Interoperability Trade-offs for AI Systems](https://jyanshu.hashnode.dev/api-vs-mcp-interoperability-trade-offs-for-ai-systems?utm_source=hashnode&utm_medium=feed) A practical guide comparing REST APIs and MCP for AI systems — with decision frameworks, architecture patterns, and real-world Walmart scenarios. 14 min read · [jyanshu.hashnode.dev](https://jyanshu.hashnode.dev/api-vs-mcp-interoperability-trade-offs-for-ai-systems?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/api-vs-mcp-interoperability-trade-offs-for-ai-systems/6a719740af68c624840e9edb) [Moises Prat](https://hashnode.com/@moisesprat) · [Jul 21](https://hashnode.com/posts/building-a-6-agent-investment-research-pipeline-with-crewai/6a5fea9ffa58742011e4a1b7) ### [Building a 6-Agent Investment Research Pipeline with CrewAI](https://prospectai.hashnode.dev/building-a-6-agent-investment-research-pipeline-with-crewai?utm_source=hashnode&utm_medium=feed) A 6-agent CrewAI pipeline for stock research: sequential agents, typed contracts, deterministic tools, and an adversarial critic. The architecture. 6 min read · [prospectai.hashnode.dev](https://prospectai.hashnode.dev/building-a-6-agent-investment-research-pipeline-with-crewai?utm_source=hashnode&utm_medium=feed)