--- format: "aidr-story-markdown/v1" id: "b26e5fbf3d77155fa450243f81e6099e1dc0567c46ed9963147f2aa35cd34580" canonical_url: "https://aidr.today/b26e5fbf?lang=en" title: "ChatAndBuild Launches Shared Memory Layer to Sync Context Across AI Models" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-11-04T14:22:23.000Z" category: "Tools" topics: ["llm","devtools","framework"] source_urls: ["https://marketbrief.now/ai/chatandbuild-launches-shared-memory-layer-to-sync-context-across-ai-mode-59f2ca8b","https://huggingnews.com/ai/chatandbuild-launches-shared-memory-layer-to-sync-context-across-ai-mode-59f2ca8b"] summary: "ChatAndBuild launched Living Brain, a persistent memory layer that syncs user project history across AI models like ChatGPT, Claude, Cursor, and Codex via API or the Model Context Protocol. The system reportedly uses up to 22.6x fewer tokens per question and can reduce task costs by as much as 95%, with internal benchmarks showing a 92.2% LoCoMo score and a median end-to-end answer time of 3.7s." --- # ChatAndBuild Launches Shared Memory Layer to Sync Context Across AI Models > [Open the canonical story]() **Published:** 2026-11-04T14:22:23.000Z **Category:** Tools **Topics:** llm, devtools, framework ## Summary ChatAndBuild launched Living Brain, a persistent memory layer that syncs user project history across AI models like ChatGPT, Claude, Cursor, and Codex via API or the Model Context Protocol\. The system reportedly uses up to 22\.6x fewer tokens per question and can reduce task costs by as much as 95%, with internal benchmarks showing a 92\.2% LoCoMo score and a median end\-to\-end answer time of 3\.7s\. ## Sources - [Story source]() - [Story source]()