Christel Buchanan Introduces Living Brain, a Shared Memory Layer for ChatGPT, Claude, Cursor, Codex and Custom Agents

Context

Christel Buchanan (@ladyxtel) introduced Living Brain. LoCoMo is a public benchmark that tests how well systems remember facts across long conversations. Memory layers store what an AI learns about a user or project outside the model itself.

Deep dive

Christel Buchanan (@ladyxtel) posted on Nov 4 that her team decoupled memory from the model. She introduced Living Brain, described as one persistent brain for ChatGPT, Claude, Cursor, Codex and your own agents, where you write in one tool and retrieve in any.

She claims Living Brain scores 92.2% on the LoCoMo memory benchmark, has a median retrieval time of 464 milliseconds, and uses up to 22.6 times fewer tokens per question. She closed with the line that LLMs have parameters while Living Brain has plasticity.

All of these numbers come from the maker and are not independently confirmed in the post. The post also does not say how the benchmark was run, what the token savings are compared against, or how the product is priced.

The idea answers a real pain. Each AI assistant keeps its own memory, so users switch tools and lose context. A shared layer that any tool can read would make it easier to move between assistants.

The post drew about 1.39 million views and almost 2,000 reposts, the widest reach of any new item in today's scan, though likes were lower at about 2,400.

What to expect next

Watch for outside developers to test Living Brain on LoCoMo and real work, and for details on privacy, storage and pricing. Integrations with each named tool will show how deep the connection goes. Built in memory features from OpenAI, Anthropic and others compete directly with this idea, so their next memory updates will matter for whether a separate layer catches on.