memory
30 articles about memory in AI news
How to Build Safer DevOps Workflows with Claude Code, MCP, Hooks, and Memory
Claude Code hooks, MCP servers, and memory create self-regulating DevOps workflows. Use Bash hooks to block dangerous commands and memory to persist safety rules.
GraphRAG Memory Design: Retrieval Over Storage, MCP Integration
Agent memory design prioritizes retrieval over storage, using unified MongoDB and MCP server. GraphRAG enables multi-hop traversal via three strategies.
Nvidia Vera Rubin Rack Costs $7.8M; Memory Drives Price
Nvidia's Vera Rubin rack costs $7.8M with memory as key cost driver; Kyber rack delayed to 2028.
Second Brain Becomes Open-Source AI Agent Memory System
Pauliusztin open-sourced a 2-year project turning 10,994 notes into a living AI agent memory system. The architecture aligns with Google's new OKF standard.
EvoEmbedding Beats Static Embedders 3× Larger via Latent Memory Queue
EvoEmbedding uses a latent memory queue to beat static embedders 3× its size on long-context retrieval, per @HuggingPapers.
OPID: Agents Learn From Hindsight Without External Memory
OPID lets agents learn hierarchical skills from hindsight, improving sample efficiency on ALFWorld, WebShop, Search QA without external memory at inference.
Tencent Open-Sources Agent Memory System Cutting Token Use 61%
Tencent open-sourced TencentDB Agent Memory, cutting token usage by 61.38% and boosting task success by 51.52% on WideSearch, running fully local.
Micron Backs Anthropic Series H With Multi-Year Memory Supply Deal
Micron invests in Anthropic's Series H and inks multi-year memory supply deal for HBM, DRAM, and SSDs. Critics flag circular arrangement as bubble risk.
Use CLAUDE.md as External Working Memory
Use CLAUDE.md as external working memory: add Stack, Voice, Gotchas, and Current checkpoint sections to cut session restart time from 5–15 minutes to under 1 minute, per self-reported data.
DeepSeek-V4 Hits 500K Context with 90% Less KV Cache via FlashMemory
DeepSeek-V4 achieves 500K context with 90% less KV cache via FlashMemory's lookahead sparse attention, keeping only 13.5% of cache in GPU memory without retraining.
OpenAI's ChatGPT 'Dreaming' Memory Retains Preferences Across Sessions
OpenAI launched a dreaming memory system for ChatGPT that retains user preferences across conversations by compressing and replaying session data, enabling persistent personalization.
HydraDB Raises $6.5M for Persistent Agent Memory, Solving the Session Gap
HydraDB raised $6.5M for persistent agent memory, solving the session-gap problem context windows ignored. The round signals memory as a startup thesis.
AgingBench: AI Agents Lose Reliability Over Time & Memory Fails
UT Austin paper finds AI agents degrade over time via memory errors. Proposes AgingBench to measure reliability decay across sessions.
Sleep Phase Cuts Transformer Costs by Consolidating Memory
Paper proposes sleep phase to consolidate context into fixed-size memory, reducing inference cost while improving long-horizon task performance on GSM-Infinite.
Zep AI's Graphiti: Agent Memory Without Schema Is Just Storage
Zep AI's Graphiti enforces Pydantic schemas on LLM entity extraction, preventing generic label collapse and enabling precise querying of agent memory.
Memory as a Model: Augmenting LLMs with Trained Memory
Paper augments LLMs with trained memory for long-term recall. Model-agnostic approach stores external knowledge without retraining.
Neo4j's agent-memory: Open-source unified memory for AI agents via knowledge graphs
Neo4j releases agent-memory, an open-source unified memory layer for AI agents using knowledge graphs, enabling persistent structured recall.
Hermes Agent's Three-Tier Memory Cuts Context Bloat, Keeps 2,200-Char Core
Hermes agent's three-tier memory uses two tiny markdown files (2,200 chars), SQLite FTS5 search (10ms over 10K docs), and 8 pluggable providers. The composition solves the always-on vs. deep recall trade-off.
GBrain: Garry Tan's Agent Memory Uses Markdown as System of Record
GBrain is Garry Tan's agent memory system using markdown as the system of record, with a self-wiring knowledge graph and overnight dream cycle.
CLAUDE.md Explained: How Anthropic's Agent Memory Works
CLAUDE.md is Anthropic's project config file for Claude Code, now two years old with settled best practices for agent memory and context.
Roundhill Memory ETF (DRAM) Surges 90% in 36 Days, Fastest ETF Ever
Roundhill Memory ETF surged 90% since April 2, hitting $6.5B assets in 36 days—fastest ETF ever—driven by AI demand for DRAM.
MNEMA: A Witness Lattice for Multi-Agent AI Memory
Today's agentic AI fails three ways: agents miscoordinate, memory gets quietly poisoned, and decisions can't be audited. A new EUMAS 2026 submission argues the fix is to stop treating memory as static records. Make it *living* — every memory unit becomes an autonomous cryptographic witness that interacts with other witnesses (agree, disagree, give birth to new witnesses, split, coalesce, retire), and decisions emerge from a fixed signed protocol rather than from a single orchestrator.
Large Memory Models: New Architecture Beyond RAG and Vector Search
Researchers with 160+ Nature and ICLR publications have built Large Memory Models (LMMs), a new architecture designed to emulate human memory processes, offering an alternative to RAG and vector search paradigms.
AI Memory Survey: Three Systems Needed for Human-Like Recall
A new survey paper proposes that modern AI requires three distinct memory systems—parametric, retrieval, and agent memory—to achieve human-like cognition, highlighting control as the key bottleneck.
Stateless Memory for Enterprise AI Agents: Scaling Without State
The paper replaces stateful agent memory with immutable decision logs using event-sourcing, allowing thousands of concurrent agent instances to scale horizontally without state bottlenecks.
Replace Karpathy's Agent Memory Automation with This 30-Line /close-day Hook
Background automation fails on laptops; use a simple /close-day skill and date tags in MEMORY.md instead.
OpenAI Codex Update Adds macOS Agent, Browser, Memory; 3M Weekly Users
OpenAI released a major Codex update featuring background macOS automation, an in-app browser, persistent memory, and 90+ plugins. With 3M weekly users and nearly half of usage now non-coding, Codex is being repositioned as a general work agent.
Microsoft's MEMENTO Method Reduces LLM Reasoning Memory by 3x
Microsoft researchers introduced MEMENTO, a method where LLMs generate structured 'notes' during multi-step reasoning, reducing the memory footprint of the reasoning process by 3x while maintaining performance. This addresses a key bottleneck in deploying complex reasoning models.
Google's Memory Caching Bridges RNN-Transformer Gap with O(NL) Complexity
Google's 'Memory Caching' method saves RNN memory states at segment boundaries, allowing tokens to reference past checkpoints. This O(NL) approach significantly improves RNN performance on recall tasks, narrowing the gap with Transformers.
Cognee Open-Source Framework Unifies Vector, Graph, and Relational Memory for AI Agents
Developer Akshay Pachaar argues AI agent memory requires three data stores—vector, graph, and relational—to handle semantics, relationships, and provenance. His open-source project Cognee unifies them behind a simple API.