3631 related articles

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.

Exploring how 70% of multi-agent memory is consumed by non-reasoning state, and a refactoring approach using email threads to replace framework memory for better token efficiency, auditability, and resilience.

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.

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.

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.

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.

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…
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.

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…
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.

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.

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.

Context Graphs use graph structures to store decisions, causal relationships, and outcomes, enabling AI agents to accumulate experience and reuse historical decisions without modifying model weights.

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.

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.

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.

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.

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.

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.
Tech FrontiersAnthropic upgrades Claude's Slack integration with multiplayer collaboration, proactive responses, and persistent memory — transforming AI from a passive tool into a true team partner.