Keep track of artifacts, not scratch. Alt title: Claude, please stop trying to memorize random crap
Use Claude’s chat search and memory to build on previous context | Anthropic Help Center
You can prompt Claude to search through your previous conversations to find and reference relevant information in new chats. Claude can also remember context from your chats and carry it into new conversations and Cowork tasks. This article explains how chat search and memory work, what Claude does and doesn't remember, how to review and edit what's saved, and how to turn these features on or off.
Memora scales agent memory to boost long-horizon productivity
AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved.
Basic Memory
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
GitHub - simonw/claude-code-transcripts: Tools for publishing transcripts for Claude Code sessions
Tools for publishing transcripts for Claude Code sessions - simonw/claude-code-transcripts
es617/claude-replay
Community tool to convert Claude Code session transcripts into self-contained, embeddable HTML replays
ellen livia ᯅ on Twitter / X
here's how Claude Code actually handles memory : all 8 phases 🧵Our team at @mem0ai use @claudeai a lot, we deeply care about memory. here is a summary of how it works 👇User Input -> Context Assembly -> History System -> API / Query -> Response -> SummaryPhase 1: session… pic.twitter.com/hcZbJzbUxB— ellen livia ᯅ (@ellen_in_sf) March 31, 2026
Claude carries memory into work - Sensemaker
Chat and cloud Cowork now share remembered topics; continuity improves, but so can the reach of a mistake.
Memory in Agents: What, Why and How
LLM memory gives language models persistent context across sessions. Learn how it works, how it differs from RAG and context windows, and how to add LLM memory to your agents with Mem0.
A new way to extract detailed transcripts from Claude Code
I’ve released claude-code-transcripts, a new Python CLI tool for converting Claude Code transcripts to detailed HTML pages that provide a better interface for understanding what Claude Code has done than …
Agent Memory Patterns
A short HOW TO guide for agent memory systems. Especially the difference between blocks, files and skills.
Jürgen Leschner on Twitter / X
Making organizational memories == agent memories is the unlock. https://t.co/Tk9fV17iny— Jürgen Leschner (@jldec) July 28, 2025
Why AI Coding Agents Forget — And How ArcticMem Fixes It
Explore ArcticMem, Snowflake’s persistent semantic memory system for AI coding agents. See how dual-tier memory improves benchmark pass rates to 73%.
New blog post: Ambient associative agent memory Largely, I think deep research styled agents are extremely useful for new content we haven't seen before, but fail hard for memory that's already supposed to be "known" Here are 2 patterns, mine and @3fz.org's timkellogg.me/blog/2026/05/17/ambient-memor…
Ambient Associative Memory
timkellogg.meNew (shorter) lecture! Over-optimization, foundations of reward hacking, sycophancy, verbosity, etc. In recording this, I realized that rubrics are going to be prone to overopt in a way like reward models, where RLVR is its own thing. Fundamentals, history, and reflections! youtu.be/y04JhXpiI4s
Over-Optimization and RLHF’s Bad Reputation | Post-Training Course, Lecture 9
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