Open-source Chrome extension that uses a local LLM to automatically summarize, tag, and store AI conversation context. EXAONE 3.5 7.8B summarizes every 20 turns locally, auto-tagging project names, tech stack, and key decisions. Semantic vector search powered by Cloudflare Vectorize + bge-m3 (1024 dimensions, 100+ languages). Zero cloud API cost — your data never leaves your machine. 로컬 LLM이 AI 대화를 자동으로 요약·태깅·저장하는 오픈소스 크롬 확장 프로그램. EXAONE 3.5로 프라이버시를 지키면서 대화 맥락을 영구 보존합니다.
AIKeep24 — Auto-save AI conversations with local LLM is a tool in the Chatbots & Assistants category of a tech stack.
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It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
It allows you to run open-source large language models, such as Llama 2, locally.