agent-memory
An AI tightened a 70-year-old constant, and the paper says its judgment was the weak part News
A case study from seven researchers documents how an AI system helped tighten the best known bounds on the Grothendieck constant, and reports plainly that the system was strong at technical execution but weak at research judgment and at tracking where the work stood.
Agent instruction files triple in size because nobody remembers why a rule exists News
A study of 247,694 instruction lifetimes across 1,867 GitHub repositories found agentic coding instruction files grow 226 percent over their lifetime and effectively never shrink, because deleting a rule whose rationale is lost risks breaking something.
An agent's memory records what you said; this compiler records what you did News
A single-author paper argues computer-use agents waste frontier inference re-deriving routines their user already performed, and presents a model-free compiler that turns raw screen capture into a context block 86 times smaller that an agent reads with 98.4 percent accuracy.
Models invent about 40 percent of what they claim to know about you News
A new study measuring 12 language models across more than 143,000 judged claims found every one of them invented or stereotyped between 35 and 49 percent of what it asserted about a user, and that the models most confident they were being careful were the ones fabricating most.
A New Benchmark Asks Whether a Coding Agent Can Stop Asking News
CAPA tests whether an assistant that has watched one developer resolve the same ambiguity before can write the intended code without asking again, and finds that the best model still needs a clarification round on four sessions in ten.
Four agent-memory papers landed in a week, and none tested what happens when an attacker controls the writes News
Four papers published within days define an AI agent's memory as four incompatible things - a pretrained module, a rewritten lesson, a folder of files, and a reliability ledger - and three of them introduce writable state that determines future behaviour without evaluating an adversary who controls what gets written.
Metis puts an agent's memory inside the model instead of in a database beside it News
A team spanning several Chinese universities released the first prototype of what it calls a memory foundation model - a backbone carrying a memory state that updates on every interaction through a plain forward pass, with no gradients and no external retrieval system.
Letting an agent organise its own memory halved retrieval cost and improved no answers News
The first systematic study of the markdown-filesystem memory that deployed AI agents actually use found that organisation reliably buys cheaper search, but that no agent tested converted a tidier memory into better answers - and organisation eroded as the store grew.
A frozen 12B model answers already-solved problems at zero generation tokens News
A technical report describes a 12-billion-parameter model whose weights never change but which answers new instances of nine previously solved problem families with no generated tokens at all, scoring 180 out of 180 by executing verified stored procedures instead of reasoning again.
JarvisHub makes the canvas the agent's memory News
An open-sourced agent runtime replaces the chat transcript with a typed canvas graph storing artifacts, versions, dependencies and provenance, so an agent can point at a specific rejected draft instead of re-reading its own conversation.
A 4B model on your device nearly matched a 72B one - by copying its memories News
Researchers distilled a large AI agent's memory skills onto a compact 4-billion-parameter model, raising its success rate on a household-task benchmark from 4% to 78% while running three times faster than its 72B teacher.
A 32B model reaches frontier level by learning what to remember News
New research reframes agent memory as a trainable skill rather than a growing transcript - and shows that optimizing memory alone lets a 32B open model rival Claude Opus, and a 4B model leap from 4% to 78% on a benchmark.
The New Frontier in AI Agents: Giving Them a Memory That Actually Sticks News
A cluster of new research treats agent memory as a first-class system, with benchmarks showing that skills learned from multiple models transfer better than one model's own, and a warning that stored memories can make agents sycophantic.
Microsoft's new memory system lets AI agents remember more by storing less News
Memora keeps the rich detail of a conversation but searches it using tiny six-word labels, cutting the cost of remembering by up to 98 percent. The code is public.
Microsoft Memora Tool
Open-source memory system for AI agents that stores rich content but searches it via tiny abstraction labels and cue anchors, cutting token cost on long-horizon tasks. Includes a distillable retriever.
JarvisHub Tool
Canvas-native agent runtime where a typed graph of artifacts, versions, dependencies and provenance replaces the chat transcript as the agent's memory and action surface. Ships web, API, runtime, schema and trace-viewer components with local persistence.