#agent memory

1755 related articles

Jul 27, 2026·2 min

LLM Agent Long-Term Memory Security: A Six-Stage Attack Surface and Defense Framework

Deep analysis of LLM agent long-term memory security threats, covering persistence, statefulness, and propagation of memory poisoning, with a six-stage lifecycle defense framework.

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 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.

Jul 12, 2026·2 min

A Guide to Selecting AI Agent Memory Strategies: A Deep Dive into the Decision-Tree Methodology

How do you choose the right memory strategy for an AI agent? This article uses a decision-tree methodology to analyze the use cases and trade-offs of short-term memory, vector retrieval, and structured summaries.

Jul 11, 2026·4 min

Tencent Open-Sources Agent Memory: A Fully Local AI Long-Term Memory Solution with Zero External Dependencies

Tencent Cloud open-sources TencentDB Agent Memory — a fully local AI Agent memory system with a 4-tier progressive pipeline, zero external API dependencies, and 8,100+ GitHub Stars. Ideal for finance, healthcare, and privacy-sensitive use cases.

Jul 7, 2026·4 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.

Jul 6, 2026·2 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.

Jul 6, 2026·3 min

Building an Automated Penetration Testing System with Claude: A Deep Dive into Memory, Skills, and Agent Architecture

A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.

Jul 6, 2026·4 min

Claude Code New Features Deep Dive: Remote Control, Multi-Agent Parallelism, and Auto Memory

Deep dive into Claude Code's major new updates: Remote Control for session takeover, Auto Mode to reduce interruptions, multi-agent code review, Auto Memory, and Routines for cloud automation workflows.

Jul 3, 2026·7 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.

Jul 1, 2026·4 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.

Claude Slack Agent Upgrade: Multiplayer Collaboration, Proactive Responses, and Persistent Memory Explained

Tech Frontiers

Jul 1, 2026·4 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.

Jun 29, 2026·4 min

Deep Dive into Hermes Agent Architecture: Loop Mechanism, Memory System, and Gateway Design

Deep dive into Hermes Agent's core architecture: Agent Loop mechanism, three-layer memory system (Markdown/SQLite/external), Gateway multi-platform integration, context compression, and Cron jobs.

Jun 12, 2026·3 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.

Jun 12, 2026·3 min

Deep Dive into Claude Cloud Agent Memory System Architecture: CMA Design Philosophy and Technical Choices

Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.

Jun 6, 2026·4 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.

Jun 6, 2026·4 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.

Jun 5, 2026·2 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.