#AI memory

3813 related articles

Jul 30, 2026·2 min

Memmy Agent: Cross-Platform AI Memory Sharing Tool, A Local-First Personal Memory Hub

Memmy Agent is a local-first open-source AI memory hub enabling cross-platform memory sharing across Claude Code, Codex, and more. Free 2M tokens included.

Jul 30, 2026·2 min

Memmy Agent: A Cross-Platform AI Memory Sharing Tool and Local-First Personal Memory Hub

Memmy Agent is a local-first, open-source AI memory hub enabling cross-platform memory sharing across Claude Code, Codex, and more. Free 2M token tier included.

Jul 30, 2026·5 min

MemBoostAI: A Deep Dive into the AI-Powered Daily Memory Training Tool

MemBoostAI is a memory training app combining cognitive science with AI. Through short daily practice, active recall, and gamified challenges, it helps users boost memory retention. A deep analysis of its features, science, and differences from traditional flashcard tools.

Jul 30, 2026·2 min

MemoryCustodian: A Repo-Native Persistent Memory Store for Coding AIs

MemoryCustodian is an open-source tool that stores AI memory as Markdown files in your code repo, solving cross-session amnesia for Claude Code, Codex, and other coding assistants.

Jul 30, 2026·4 min

FlowTask 2.0: Building a Unified Enterprise Memory Layer for AI Agents

FlowTask 2.0 proposes a "Company Brain" that unifies data from Email, Slack, WhatsApp and more to provide real-time enterprise context for AI Agents, reducing repetitive context-feeding costs.

Jul 30, 2026·3 min

ClariLayer: A Data Analytics Context Layer That Solves AI's Memory Loss Problem

ClariLayer is an AI context layer for data analysts that persistently stores data structures, business metrics, and analytical logic, solving context loss across AI sessions and tools.

Jul 30, 2026·3 min

Second Brain Desktop: A Persistent Memory Store Across AI Tools

Second Brain desktop brings unified persistent memory across AI tools for Mac and Windows, featuring intelligent recall, auto-built knowledge graphs, and self-hosted data via Cloudflare.

Jul 30, 2026·2 min

Peekinduck: Dual AI Voice Agents with Shared Memory Bridging the Entire B2B Customer Journey

Peekinduck uses two AI voice agents—Demo Duck and Guide Goose—sharing customer memory to unify pre-sales demos, onboarding, and post-sales support for B2B SaaS teams.

Jul 30, 2026·4 min

AI Agent Memory Systems: Genuine Technical Progress or RAG in Disguise?

In-depth analysis of AI agent memory systems: examining whether current improvements represent real progress or just RAG repackaged, and what architectural changes are truly needed.

Jul 27, 2026·3 min

Running AI Inside DRAM: A Processing-in-Memory Experiment That Breaks DDR4 Timing Rules

Explore how deliberately violating DDR4 timing rules enables running PrismML's Bonsai AI model inside DRAM, covering the principles, energy benefits, and challenges of processing-in-memory.

Jul 25, 2026·3 min

AI Project Memory Systems: Building a Continuously Accumulating Context Architecture in Four Stages

As models get stronger, why does the experience feel worse? The root cause is missing context. This article breaks down four stages—project descriptions, progressive disclosure, intra-memory, and three guardrails—to build a sustainable AI project memory system.

Jul 24, 2026·7 min

Enterprise AI Agent Security Isolation and Memory Design: NanoClaw Founder Breaks Down Real-World Lessons

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.

Cognee: The Open-Source Knowledge Grap…

Jul 21, 2026·2 min

Cognee: The Open-Source Knowledge Graph Engine for Persistent AI Agent Memory

Cognee is an open-source AI memory platform using knowledge graphs to give AI agents persistent cross-session memory. Self-hosted, graph + vector hybrid retrieval. 28K+ GitHub stars.

Jul 20, 2026·3 min

LightMem-Ego: The AI Memory Assistant That Remembers the Details of Your Daily Life

LightMem-Ego is an AI life assistant with long-term memory — tracking object locations, meetings, and life events over time. A deep dive into its technology and real-world challenges.

Block Low-Rank Compression: A Guide to…

Jul 19, 2026·2 min

Block Low-Rank Compression: A Guide to Accelerating Large Model Inference on Memory-Constrained GPUs

Learn how Block Low-Rank (BLR) decomposition compresses large model memory usage and accelerates GPU inference, including CUDA kernel optimization and combination with quantization and pruning.

Jul 17, 2026·5 min

A Deep Dive into Vector Search for AI Agents: The Technical Foundations of RAG and Long-Term Memory

An in-depth look at the core tech behind AI Agents: how the HNSW, IVF, and PQ vector search algorithms power RAG and long-term memory. Understand where a model's "memory" and "knowledge" come from.

AI Coding Agents Have Amnesia — An Ope…

Jul 17, 2026·2 min

AI Coding Agents Have Amnesia — An Open-Source SSH-Synced Memory System Wants to Fix That

Tired of AI coding agents forgetting everything? Explore an open-source SSH-synced memory system that lets Cursor, Claude Code, and other agents retain project context across sessions and devices — no cloud required.

ContextVault: Building a Shared Memory…

Jul 17, 2026·2 min

ContextVault: Building a Shared Memory Layer for Team AI Collaboration

ContextVault builds a shared memory layer for team AI collaboration, tackling fragmented AI context and knowledge silos. Explore its technical positioning, use cases, and challenges in context engineering.

Jul 15, 2026·2 min

LangChain Chain & Memory: Building AI Applications with Persistent Memory

Learn how LangChain's Chain and Memory components overcome LLM limitations. Build intelligent AI apps with multi-step workflows and persistent memory.

Apple M7 Ultra Chip Leaked: Can 1.5TB …

Jul 14, 2026·2 min

Apple M7 Ultra Chip Leaked: Can 1.5TB Unified Memory Reshape Local AI Inference?

Reddit leaks suggest Apple's M7 Ultra chip could feature up to 1.5TB unified memory. We analyze the architecture, pricing debate, bandwidth limits, and ecosystem trade-offs for local LLM inference.