--- title: "#ai-memory articles | Hashnode" description: "Explore 334 articles tagged #ai-memory on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/ai-memory" --- Tag # #ai-memory 334 posts · 1 followers [Palraj Jayavel](https://hashnode.com/@palrajjp) · [Oct 10](https://hashnode.com/posts/your-ai-coding-agent-keeps-re-reading-your-codebase-i-built-agentramen-to-fix-that/6aca7d3d01333a108dff956a) ### [Your AI Coding Agent Keeps Re-Reading Your Codebase. I Built agentRamen to Fix That.](https://palraj.hashnode.dev/your-ai-coding-agent-keeps-re-reading-your-codebase-i-built-agentramen-to-fix-that?utm_source=hashnode&utm_medium=feed) Stop context window loss. Learn how to implement memory architecture for AI coding agents using hybrid retrieval & local memory engines 8 min read · [palraj.hashnode.dev](https://palraj.hashnode.dev/your-ai-coding-agent-keeps-re-reading-your-codebase-i-built-agentramen-to-fix-that?utm_source=hashnode&utm_medium=feed) [Feroan Mothy](https://hashnode.com/@feroan) · [Sep 25](https://hashnode.com/posts/why-ai-agents-need-to-forget/6ab669ada38fee4ffbb9f6bd) ### [Why AI Agents Need to Forget](https://feroan.hashnode.dev/why-ai-agents-need-to-forget?utm_source=hashnode&utm_medium=feed) AI agents shouldn't remember everything. Here's why stale context, outdated decisions, and irrelevant memories can make agents worse. 8 min read · [feroan.hashnode.dev](https://feroan.hashnode.dev/why-ai-agents-need-to-forget?utm_source=hashnode&utm_medium=feed) [Haithem Slimi](https://hashnode.com/@haithem-slimi) · [Sep 20](https://hashnode.com/posts/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one/6aafe54cba9d858bd7839d67) ### [Memory for AI Agents: Architectures, Tools, and How to Choose the Right One](https://nightthoughts.me/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one?utm_source=hashnode&utm_medium=feed) Why agents need memory, the four memory types, architectural patterns, the tool landscape, selection criteria, and when Memori fits or not. 10 min read · [nightthoughts.me](https://nightthoughts.me/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one?utm_source=hashnode&utm_medium=feed) [4](https://hashnode.com/posts/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one/6aafe54cba9d858bd7839d67) [Memorax AI](https://hashnode.com/@isfaye) · [Aug 8](https://hashnode.com/posts/swe-contextbench-why-your-coding-agent-feels-like-a-new-hire-every-time/6a7761142b419891ad6a6ee0) ### [SWE-ContextBench: Why Your Coding Agent Feels Like a New Hire Every Time](https://memorax-engineering.hashnode.dev/swe-contextbench-why-your-coding-agent-feels-like-a-new-hire-every-time?utm_source=hashnode&utm_medium=feed) Giving coding agents more history did not improve their task resolution rate. Giving them the right summarized experience did. 5 min read · [memorax-engineering.hashnode.dev](https://memorax-engineering.hashnode.dev/swe-contextbench-why-your-coding-agent-feels-like-a-new-hire-every-time?utm_source=hashnode&utm_medium=feed) [Yash](https://hashnode.com/@yash-developer) · [Jul 28](https://hashnode.com/posts/agentic-memory-why-memory-is-the-missing-piece-of-ai/6a691d79585b79de53e0741c) ### [Agentic Memory: Why Memory is the Missing Piece of AI](https://gen-ai-with-yash.hashnode.dev/agentic-memory-why-memory-is-the-missing-piece-of-ai?utm_source=hashnode&utm_medium=feed) We'll understand why AI needs memory in the first place, how it works, the different types of memory. 8 min read · [gen-ai-with-yash.hashnode.dev](https://gen-ai-with-yash.hashnode.dev/agentic-memory-why-memory-is-the-missing-piece-of-ai?utm_source=hashnode&utm_medium=feed) [Atharv Munde](https://hashnode.com/@atharvmunde) · [Jul 17](https://hashnode.com/posts/shared-memory-vs-isolated-memory-architecture-for-ai-agents/6a5a5ddf3c6322e4cd3c4aa7) ### [Shared Memory vs Isolated Memory Architecture for AI Agents](https://memory-cache.hashnode.dev/shared-memory-vs-isolated-memory-architecture-for-ai-agents?utm_source=hashnode&utm_medium=feed) A practical comparison of shared and isolated memory for AI agents, including semantic recall, concurrency, permissions, event logs, and checkpoints. 9 min read · [memory-cache.hashnode.dev](https://memory-cache.hashnode.dev/shared-memory-vs-isolated-memory-architecture-for-ai-agents?utm_source=hashnode&utm_medium=feed) [Learn with HJ](https://hashnode.com/@hardeepjethwani) · [Jul 11](https://hashnode.com/posts/ai-memory-what-should-agents-remember-and-what-should-they-forget/6a5262b47c2228c33d5bd9b4) ### [AI Memory: What Should Agents Remember and What Should They Forget?](https://hardeepjethwani.hashnode.dev/ai-memory-what-should-agents-remember-and-what-should-they-forget?utm_source=hashnode&utm_medium=feed) Discuss short-term memory, long-term memory, user preferences, privacy, and retrieval. 6 min read · [hardeepjethwani.hashnode.dev](https://hardeepjethwani.hashnode.dev/ai-memory-what-should-agents-remember-and-what-should-they-forget?utm_source=hashnode&utm_medium=feed) [Learn with HJ](https://hashnode.com/@hardeepjethwani) · [Jul 11](https://hashnode.com/posts/long-context-windows-bigger-memory-or-bigger-mess/6a5262b28e482fd62d4fd12d) ### [Long Context Windows: Bigger Memory or Bigger Mess?](https://hardeepjethwani.hashnode.dev/long-context-windows-bigger-memory-or-bigger-mess?utm_source=hashnode&utm_medium=feed) Explain long-context models, use cases, attention limits, cost, and retrieval tradeoffs. 6 min read · [hardeepjethwani.hashnode.dev](https://hardeepjethwani.hashnode.dev/long-context-windows-bigger-memory-or-bigger-mess?utm_source=hashnode&utm_medium=feed) [Roshan](https://hashnode.com/@atul-singh) · [Jul 5](https://hashnode.com/posts/from-context-to-memory-why-the-next-generation-of-ai-needs-to-remember/6a4ab29864e517a662e1f17d) ### [From Context to Memory: Why the Next Generation of AI Needs to Remember](https://singhapps.hashnode.dev/from-context-to-memory-why-the-next-generation-of-ai-needs-to-remember?utm_source=hashnode&utm_medium=feed) What if AI could continuously build understanding instead of repeatedly searching documents? Explore the limitations of context windows and RAG, the principles of memory-centric AI, and how knowledge graphs can enable AI systems to evolve through experience. 8 min read · [singhapps.hashnode.dev](https://singhapps.hashnode.dev/from-context-to-memory-why-the-next-generation-of-ai-needs-to-remember?utm_source=hashnode&utm_medium=feed) [Kolasani Venkat](https://hashnode.com/@Venkat05) · [Jul 5](https://hashnode.com/posts/how-cognee-gave-ai-a-memory-building-the-best-man-for-engineering-teams/6a4a4a9964f207430b019bae) ### [How Cognee Gave AI a Memory: Building “The Best Man” for Engineering Teams](https://blog.venkatkolasani.xyz/how-cognee-gave-ai-a-memory-building-the-best-man-for-engineering-teams?utm_source=hashnode&utm_medium=feed) Introduction Git tells us what changed and who changed it, but never why decisions were made. As engineering teams grow, the institutional knowledge behind architectural choices gets lost in Slack thr 7 min read · [blog.venkatkolasani.xyz](https://blog.venkatkolasani.xyz/how-cognee-gave-ai-a-memory-building-the-best-man-for-engineering-teams?utm_source=hashnode&utm_medium=feed)