#AI memory
4192 related articles
Why Does AI Take Such Bad Notes? A Dee…
·4 min
Why Does AI Take Such Bad Notes? A Deep Dive into the Limits and Trade-offs of LLM Memory
Why does Claude remember random junk? This deep dive explores how LLM memory systems work, their technical limits, privacy risks, and how to design AI that knows what to forget.
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·4 min
Building an AI Agent Framework from Scratch: Deep Dive into Tool Calling, Memory, and Dual-Model Scheduling
Build an AI Agent from scratch — no frameworks. Deep dive into Function Call schema design, MCP remote mirroring, dual-model routing, and short-term memory management.
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·2 min
Files as Memory: How to Finally Cure AI Coding Agents of Context Amnesia
AI coding agents suffering from context amnesia? The planning-with-files project uses Markdown file persistence to enable cross-session task continuity, compatible with 60+ tools including Claude Code and Cursor. 24K+ Stars.
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·3 min
GLM-4 Open Source Strikes Back: The AI War Expands to Memory and Space Computing
Zhipu AI's GLM open-source model approaches top closed-source models at 15% of GPT-5.5's cost. HBM shortages fuel AI inflation, and space data centers emerge as a serious compute play.
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·7 min
AI Agent Memory Layer Comparison: Mem0, Zep, Letta, and Cloudflare — Four Major Solutions Evaluated
In-depth comparison of four AI agent memory layer solutions: Mem0's extract-retrieve approach, Zep's temporal knowledge graphs, Letta's self-editing memory, and Cloudflare Durable Objects as infrastructure primitives.
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·4 min
AI Agent Memory System Architecture Breakdown: A Practical Selection Guide from 16 Open-Source Projects
Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.
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Tech Frontiers·4 min
Claude Slack Agent Upgrade: Multiplayer Collaboration, Proactive Responses, and Persistent Memory Explained
Anthropic upgrades Claude's Slack integration with multiplayer collaboration, proactive responses, and persistent memory — transforming AI from a passive tool into a true team partner.
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·2 min
DiffusionBlocks: A New Method for Block-by-Block Neural Network Training That Reduces Memory by Several Times
DiffusionBlocks splits neural networks into independent blocks for sequential training, reducing memory from linear in network depth to proportional to a single block. Validated across ViT, DiT, autoregressive Transformers and more.
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·3 min
Workstyle Memory Bridge: Making AI Remember How You Work
Explore how Workstyle Memory Bridge uses Slot+Scope unique keys, provenance tracking, and verifiable deletion to solve AI coding assistants' persistent memory loss of collaboration preferences.
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·3 min
Xiaomi Open-Sources MiMo Code: Cross-Session Memory System Tackles AI Coding's Amnesia Problem
Xiaomi open-sources MiMo Code with SQLite FTS5-powered cross-session memory, solving AI coding assistants' context loss. Supports multi-Agent collaboration, million-line codebases, and OpenAI-compatible APIs.
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·3 min
Claude-mem: The Open-Source Memory System That Stops AI from Forgetting
Claude-mem is an open-source AI memory tool that gives Claude Code, Codex, and other AI coding assistants cross-session memory via semantic compression and vector retrieval — just 50 tokens of overhead, fully local storage.
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·3 min
Xiaomi Open-Sources MiMo Code: Can an Infinite Memory Mechanism Solve AI Coding's Biggest Pain Point?
Xiaomi open-sources MiMo Code, an AI coding tool with infinite memory, multi-Agent collaboration, and Claude Code compatibility — solving context forgetting in large projects.
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·3 min
AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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·2 min
Xiaomi MiMo Code Goes Open Source: How Cross-Session Memory Is Changing AI Programming Collaboration
Xiaomi's MiMo Code is an open-source terminal programming Agent with cross-session memory and multi-Agent collaboration. Explore its memory system, self-evolution mechanism, and how it differs from Claude Code.
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·1 min
Apple's Siri AI Major Upgrade: Dedicated App, Conversation Memory, and Context-Aware Intelligence Explained
Deep dive into Apple's next-gen Siri AI upgrade: dedicated app, conversation memory, context-aware intelligence, Apple Intelligence image creation, and privacy strategy.
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·2 min
AI Memory: A 17-Year-Old Developer Makes AI Remember What You've Said
A 17-year-old indie developer builds AI with persistent memory, enabling emotionally aware conversations. Explore the tech behind AI memory and the future of AI companionship.
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·4 min
AI Agent Core Architecture Explained: A Deep Dive into the Four Key Modules — Perception, Brain, Action, and Memory
Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.
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·4 min
AI Agent Global Variable Pool & Memory Mechanisms: A Practical Guide to Workflow Node Data Passing
Deep dive into global variable pool design for AI Agent development, covering three memory types, variable scoping, node execution architecture, and placeholder variable replacement workflows.
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·2 min
Cosmos Unified Agents Platform: A New Paradigm for AI Agent Collaboration Through Shared Context and Memory
Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
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·2 min
ChatGPT Memory System Upgrade Explained: Cross-Conversation Context and Long-Term Memory Practicality
OpenAI announces a major ChatGPT memory system upgrade enhancing cross-conversation context transfer and long-term memory management. Full breakdown of core improvements, industry impact, and privacy concerns.
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