







Move work into new threads without losing your built-up context
Guinness Chen on Twitter / X
Codex can now hand off threads between local and remote hosts.Start work on your laptop, send it to a remote box before you close the lid, bring it back later.And yes, Codex can orchestrate the handoff for you. pic.twitter.com/CcIG9fwzXd— Guinness Chen (@guinnesschen) June 19, 2026
Loom — thread prototype (offline)
Context Engineering | Meetup
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step" - Andrej KarpathyLearn about tools, frameworks, and code that is in service of context engineering from practitioners in this space.Dive into the set of strategies fo


MemGPT: Towards LLMs as Operating Systems
Large language models (LLMs) have revolutionized AI, but are constrained by limited context windows, hindering their utility in tasks like extended conversations and document analysis. To enable using context beyond limited context windows, we propose virtual context management, a technique drawing inspiration from hierarchical memory systems in traditional operating systems that provide the appearance of large memory resources through data movement between fast and slow memory. Using this technique, we introduce MemGPT (Memory-GPT), a system that intelligently manages different memory tiers in order to effectively provide extended context within the LLM's limited context window, and utilizes interrupts to manage control flow between itself and the user. We evaluate our OS-inspired design in two domains where the limited context windows of modern LLMs severely handicaps their performance: document analysis, where MemGPT is able to analyze large documents that far exceed the underlying LLM's context window, and multi-session chat, where MemGPT can create conversational agents that remember, reflect, and evolve dynamically through long-term interactions with their users. We release MemGPT code and data for our experiments at https://memgpt.ai.

Context Engineering
Context engineering strategies for AI agents: write, select, compress, and isolate context to optimize performance and manage long-running tasks.

Luke Wroblewski on Twitter / X
If context engineering is the new hotness for engineering, context management is the new UI hotness/challenge for designers. pic.twitter.com/iXNTYnVRIi— Luke Wroblewski (@LukeW) July 10, 2025

Understanding memory management
Learn MemGPT memory management techniques for controlling LLM context windows with in-context and external storage.

OpenAI on Twitter / X
You can now interrupt long-running queries and add new context without restarting or losing progress.This is especially useful for refining deep research or GPT-5 Pro queries as the model will adjust its response with your new requirements. Just hit update in the sidebar and… pic.twitter.com/kESrkU9hc9— OpenAI (@OpenAI) November 5, 2025

JUNDE WU on Twitter / X
Introducing OneContext. I built it for myself but now I can’t work without it, so it felt wrong not to share.OneContext is an Agent Self-Managed Context Layer across different sessions, devices, and coding agents (Codex / Claude Code).How it works:1. Open Claude Code/Codex… pic.twitter.com/h0D4KAFNC5— JUNDE WU (@JundeMorsenWu) February 7, 2026

The rebel alliance
This blog is co-authored with Zoe Weinberg and Matt Hawes at ex/ante, and is a follow-up to our first blog post on the topic, 'You don't own your memory.' We need an open architecture that puts us in control of our memories while making their exploitation technically impossible. But how will this shift happen? In order to discover possible implementations, we must understand how our data informs LLMs. The three predominant context engineering techniques are prompt design, retrieval-augmented ...

Protocols and Power
If "context" is king, we need to ensure it remains fluid and accessible by third-party developers
