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GitHub - anifort/mem0: The memory layer for Personalized AI
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2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Solutions <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon 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0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"github_sponsors","context":"open_source","tag":"link","label":"github_sponsors_link_open_source_navbar"}" href="/sponsors"> <div> <div class="color-fg-default h4">GitHub Sponsors</div> Fund open source developers </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center 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viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"enterprise_platform","context":"enterprise","tag":"link","label":"enterprise_platform_link_enterprise_navbar"}" href="/enterprise"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-stack color-fg-subtle mr-3"> <path d="M11.063 1.456a1.749 1.749 0 0 1 1.874 0l8.383 5.316a1.751 1.751 0 0 1 0 2.956l-8.383 5.316a1.749 1.749 0 0 1-1.874 0L2.68 9.728a1.751 1.751 0 0 1 0-2.956Zm1.071 1.267a.25.25 0 0 0-.268 0L3.483 8.039a.25.25 0 0 0 0 .422l8.383 5.316a.25.25 0 0 0 .268 0l8.383-5.316a.25.25 0 0 0 0-.422Z"></path><path d="M1.867 12.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path><path d="M1.867 16.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path> </svg> <div> <div class="color-fg-default h4">Enterprise platform</div> AI-powered developer platform </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span 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0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 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--></option></form><form id="code-search-feedback-form" data-turbo="false" action="/search/feedback" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="LXw10Hvv6dfY5A6hNDkxJXl9vXxU6Pf9aFqSuyP4JFFJwAmlyn9Lw9o4bFp0+33jR1kJtgDlLJSvlUiyV44faw==" /> <p>We read every piece of feedback, and take your input very seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button 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src=\"/anifort/mem0/raw/main/docs/images/banner-sm.png\" width=\"800px\" alt=\"Mem0 - The Memory Layer for Personalized AI\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003c/p\u003e\u003cp align=\"center\" dir=\"auto\"\u003e\n \u003ca href=\"https://mem0.ai\" rel=\"nofollow\"\u003eLearn more\u003c/a\u003e\n ·\n \u003ca href=\"https://mem0.ai/discord\" rel=\"nofollow\"\u003eJoin Discord\u003c/a\u003e\n \u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003c/p\u003e\n\u003cp align=\"center\" dir=\"auto\"\u003e\n \u003ca href=\"https://mem0.ai/discord\" rel=\"nofollow\"\u003e\n \u003cimg src=\"https://camo.githubusercontent.com/77710b3fddffb8b35ad4dfdca1724a4c58daf3778c42d494f3e98f57def1c4a3/68747470733a2f2f646362616467652e76657263656c2e6170702f6170692f7365727665722f36507a584467456a47353f7374796c653d666c6174\" alt=\"Mem0 Discord\" data-canonical-src=\"https://dcbadge.vercel.app/api/server/6PzXDgEjG5?style=flat\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003ca href=\"https://pepy.tech/project/mem0ai\" rel=\"nofollow\"\u003e\n \u003cimg src=\"https://camo.githubusercontent.com/94088672ebb9e674fd4a0f250561da38b6df08d22087233d0165f3b64045822e/68747470733a2f2f696d672e736869656c64732e696f2f707970692f646d2f6d656d306169\" alt=\"Mem0 PyPI - Downloads\" data-canonical-src=\"https://img.shields.io/pypi/dm/mem0ai\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003ca href=\"https://www.ycombinator.com/companies/mem0\" rel=\"nofollow\"\u003e\n \u003cimg src=\"https://camo.githubusercontent.com/cbd5d8722017c9a1eefa0e3620ecdb179dac21fbba84ec4aab7711adfa42c4ea/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f59253230436f6d62696e61746f722d5332342d6f72616e67653f7374796c653d666c61742d737175617265\" alt=\"Y Combinator S24\" data-canonical-src=\"https://img.shields.io/badge/Y%20Combinator-S24-orange?style=flat-square\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eIntroduction\u003c/h1\u003e\u003ca id=\"user-content-introduction\" class=\"anchor\" aria-label=\"Permalink: Introduction\" href=\"#introduction\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://mem0.ai\" rel=\"nofollow\"\u003eMem0\u003c/a\u003e(pronounced \"mem-zero\") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. Mem0 remembers user preferences, adapts to individual needs, and continuously improves over time, making it ideal for customer support chatbots, AI assistants, and autonomous systems.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCore Features\u003c/h3\u003e\u003ca id=\"user-content-core-features\" class=\"anchor\" aria-label=\"Permalink: Core Features\" href=\"#core-features\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003eMulti-Level Memory\u003c/strong\u003e: User, Session, and AI Agent memory retention\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAdaptive Personalization\u003c/strong\u003e: Continuous improvement based on interactions\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDeveloper-Friendly API\u003c/strong\u003e: Simple integration into various applications\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCross-Platform Consistency\u003c/strong\u003e: Uniform behavior across devices\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eManaged Service\u003c/strong\u003e: Hassle-free hosted solution\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eHow Mem0 works?\u003c/h3\u003e\u003ca id=\"user-content-how-mem0-works\" class=\"anchor\" aria-label=\"Permalink: How Mem0 works?\" href=\"#how-mem0-works\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eMem0 leverages a hybrid database approach to manage and retrieve long-term memories for AI agents and assistants. Each memory is associated with a unique identifier, such as a user ID or agent ID, allowing Mem0 to organize and access memories specific to an individual or context.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWhen a message is added to the Mem0 using add() method, the system extracts relevant facts and preferences and stores it across data stores: a vector database, a key-value database, and a graph database. This hybrid approach ensures that different types of information are stored in the most efficient manner, making subsequent searches quick and effective.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWhen an AI agent or LLM needs to recall memories, it uses the search() method. Mem0 then performs search across these data stores, retrieving relevant information from each source. This information is then passed through a scoring layer, which evaluates their importance based on relevance, importance, and recency. This ensures that only the most personalized and useful context is surfaced.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe retrieved memories can then be appended to the LLM's prompt as needed, enhancing the personalization and relevance of its responses.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUse Cases\u003c/h3\u003e\u003ca id=\"user-content-use-cases\" class=\"anchor\" aria-label=\"Permalink: Use Cases\" href=\"#use-cases\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eMem0 empowers organizations and individuals to enhance:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003eAI Assistants and agents\u003c/strong\u003e: Seamless conversations with a touch of déjà vu\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003ePersonalized Learning\u003c/strong\u003e: Tailored content recommendations and progress tracking\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCustomer Support\u003c/strong\u003e: Context-aware assistance with user preference memory\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eHealthcare\u003c/strong\u003e: Patient history and treatment plan management\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eVirtual Companions\u003c/strong\u003e: Deeper user relationships through conversation memory\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eProductivity\u003c/strong\u003e: Streamlined workflows based on user habits and task history\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eGaming\u003c/strong\u003e: Adaptive environments reflecting player choices and progress\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eGet Started\u003c/h2\u003e\u003ca id=\"user-content-get-started\" class=\"anchor\" aria-label=\"Permalink: Get Started\" href=\"#get-started\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe easiest way to set up Mem0 is through the managed \u003ca href=\"https://app.mem0.ai\" rel=\"nofollow\"\u003eMem0 Platform\u003c/a\u003e. This hosted solution offers automatic updates, advanced analytics, and dedicated support. \u003ca href=\"https://app.mem0.ai\" rel=\"nofollow\"\u003eSign up\u003c/a\u003e to get started.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you prefer to self-host, use the open-source Mem0 package. Follow the \u003ca href=\"#install\"\u003einstallation instructions\u003c/a\u003e to get started.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstallation Instructions \u003ca name=\"user-content-install\"\u003e\u003c/a\u003e\u003c/h2\u003e\u003ca id=\"user-content-installation-instructions-\" class=\"anchor\" aria-label=\"Permalink: Installation Instructions \" href=\"#installation-instructions-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eInstall the Mem0 package via pip:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install mem0ai\"\u003e\u003cpre\u003epip install mem0ai\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAlternatively, you can use Mem0 with one click on the hosted platform \u003ca href=\"https://app.mem0.ai/\" rel=\"nofollow\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBasic Usage\u003c/h3\u003e\u003ca id=\"user-content-basic-usage\" class=\"anchor\" aria-label=\"Permalink: Basic Usage\" href=\"#basic-usage\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eMem0 requires an LLM to function, with \u003ccode\u003egpt-4o\u003c/code\u003e from OpenAI as the default. However, it supports a variety of LLMs; for details, refer to our \u003ca href=\"https://docs.mem0.ai/llms\" rel=\"nofollow\"\u003eSupported LLMs documentation\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFirst step is to instantiate the memory:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"from mem0 import Memory\n\nm = Memory()\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003efrom\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003emem0\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-v\"\u003eMemory\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003em\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eMemory\u003c/span\u003e()\u003c/pre\u003e\u003c/div\u003e\n\u003cdetails\u003e\n\u003csummary\u003eHow to set OPENAI_API_KEY\u003c/summary\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import os\nos.environ[\u0026quot;OPENAI_API_KEY\u0026quot;] = \u0026quot;sk-xxx\u0026quot;\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eos\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003eos\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eenviron\u003c/span\u003e[\u003cspan class=\"pl-s\"\u003e\"OPENAI_API_KEY\"\u003c/span\u003e] \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"sk-xxx\"\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/details\u003e\n\u003cp dir=\"auto\"\u003eYou can perform the following task on the memory:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eAdd: Store a memory from any unstructured text\u003c/li\u003e\n\u003cli\u003eUpdate: Update memory of a given memory_id\u003c/li\u003e\n\u003cli\u003eSearch: Fetch memories based on a query\u003c/li\u003e\n\u003cli\u003eGet: Return memories for a certain user/agent/session\u003c/li\u003e\n\u003cli\u003eHistory: Describe how a memory has changed over time for a specific memory ID\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 1. Add: Store a memory from any unstructured text\nresult = m.add(\u0026quot;I am working on improving my tennis skills. Suggest some online courses.\u0026quot;, user_id=\u0026quot;alice\u0026quot;, metadata={\u0026quot;category\u0026quot;: \u0026quot;hobbies\u0026quot;})\n\n# Created memory --\u0026gt; 'Improving her tennis skills.' and 'Looking for online suggestions.'\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e# 1. Add: Store a memory from any unstructured text\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003eresult\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003em\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eadd\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"I am working on improving my tennis skills. Suggest some online courses.\"\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003euser_id\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"alice\"\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003emetadata\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e{\u003cspan class=\"pl-s\"\u003e\"category\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"hobbies\"\u003c/span\u003e})\n\n\u003cspan class=\"pl-c\"\u003e# Created memory --\u0026gt; 'Improving her tennis skills.' and 'Looking for online suggestions.'\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 2. Update: update the memory\nresult = m.update(memory_id=\u0026lt;memory_id_1\u0026gt;, data=\u0026quot;Likes to play tennis on weekends\u0026quot;)\n\n# Updated memory --\u0026gt; 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e# 2. Update: update the memory\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003eresult\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003em\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eupdate\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ememory_id\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026lt;\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ememory_id_1\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026gt;\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003edata\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"Likes to play tennis on weekends\"\u003c/span\u003e)\n\n\u003cspan class=\"pl-c\"\u003e# Updated memory --\u0026gt; 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 3. Search: search related memories\nrelated_memories = m.search(query=\u0026quot;What are Alice's hobbies?\u0026quot;, user_id=\u0026quot;alice\u0026quot;)\n\n# Retrieved memory --\u0026gt; 'Likes to play tennis on weekends'\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e# 3. Search: search related memories\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003erelated_memories\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003em\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esearch\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003equery\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"What are Alice's hobbies?\"\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003euser_id\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"alice\"\u003c/span\u003e)\n\n\u003cspan class=\"pl-c\"\u003e# Retrieved memory --\u0026gt; 'Likes to play tennis on weekends'\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 4. Get all memories\nall_memories = m.get_all()\nmemory_id = all_memories[0][\u0026quot;id\u0026quot;] # get a memory_id\n\n# All memory items --\u0026gt; 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e# 4. Get all memories\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003eall_memories\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003em\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_all\u003c/span\u003e()\n\u003cspan class=\"pl-s1\"\u003ememory_id\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eall_memories\u003c/span\u003e[\u003cspan class=\"pl-c1\"\u003e0\u003c/span\u003e][\u003cspan class=\"pl-s\"\u003e\"id\"\u003c/span\u003e] \u003cspan class=\"pl-c\"\u003e# get a memory_id\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e# All memory items --\u0026gt; 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"# 5. Get memory history for a particular memory_id\nhistory = m.history(memory_id=\u0026lt;memory_id_1\u0026gt;)\n\n# Logs corresponding to memory_id_1 --\u0026gt; {'prev_value': 'Working on improving tennis skills and interested in online courses for tennis.', 'new_value': 'Likes to play tennis on weekends' }\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e# 5. Get memory history for a particular memory_id\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003ehistory\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003em\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ehistory\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ememory_id\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026lt;\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ememory_id_1\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e\u0026gt;\u003c/span\u003e)\n\n\u003cspan class=\"pl-c\"\u003e# Logs corresponding to memory_id_1 --\u0026gt; {'prev_value': 'Working on improving tennis skills and interested in online courses for tennis.', 'new_value': 'Likes to play tennis on weekends' }\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-alert markdown-alert-tip\" dir=\"auto\"\u003e\u003cp class=\"markdown-alert-title\" dir=\"auto\"\u003e\u003csvg class=\"octicon octicon-light-bulb mr-2\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"M8 1.5c-2.363 0-4 1.69-4 3.75 0 .984.424 1.625.984 2.304l.214.253c.223.264.47.556.673.848.284.411.537.896.621 1.49a.75.75 0 0 1-1.484.211c-.04-.282-.163-.547-.37-.847a8.456 8.456 0 0 0-.542-.68c-.084-.1-.173-.205-.268-.32C3.201 7.75 2.5 6.766 2.5 5.25 2.5 2.31 4.863 0 8 0s5.5 2.31 5.5 5.25c0 1.516-.701 2.5-1.328 3.259-.095.115-.184.22-.268.319-.207.245-.383.453-.541.681-.208.3-.33.565-.37.847a.751.751 0 0 1-1.485-.212c.084-.593.337-1.078.621-1.489.203-.292.45-.584.673-.848.075-.088.147-.173.213-.253.561-.679.985-1.32.985-2.304 0-2.06-1.637-3.75-4-3.75ZM5.75 12h4.5a.75.75 0 0 1 0 1.5h-4.5a.75.75 0 0 1 0-1.5ZM6 15.25a.75.75 0 0 1 .75-.75h2.5a.75.75 0 0 1 0 1.5h-2.5a.75.75 0 0 1-.75-.75Z\"\u003e\u003c/path\u003e\u003c/svg\u003eTip\u003c/p\u003e\u003cp dir=\"auto\"\u003eIf you prefer a hosted version without the need to set up infrastructure yourself, check out the \u003ca href=\"https://app.mem0.ai/\" rel=\"nofollow\"\u003eMem0 Platform\u003c/a\u003e to get started in minutes.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDocumentation\u003c/h2\u003e\u003ca id=\"user-content-documentation\" class=\"anchor\" aria-label=\"Permalink: Documentation\" href=\"#documentation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eFor detailed usage instructions and API reference, visit our documentation at \u003ca href=\"https://docs.mem0.ai\" rel=\"nofollow\"\u003edocs.mem0.ai\u003c/a\u003e. Here, you can find more information on both the open-source version and the hosted \u003ca href=\"https://app.mem0.ai\" rel=\"nofollow\"\u003eMem0 Platform\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eStar History\u003c/h2\u003e\u003ca id=\"user-content-star-history\" class=\"anchor\" aria-label=\"Permalink: Star History\" href=\"#star-history\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://star-history.com/#mem0ai/mem0\u0026amp;Date\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/32407dd18b36d02377972982a21bb54f481c3cfaf5b5368263538fb896ef2bde/68747470733a2f2f6170692e737461722d686973746f72792e636f6d2f7376673f7265706f733d6d656d3061692f6d656d3026747970653d44617465\" alt=\"Star History Chart\" data-canonical-src=\"https://api.star-history.com/svg?repos=mem0ai/mem0\u0026amp;type=Date\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSupport\u003c/h2\u003e\u003ca id=\"user-content-support\" class=\"anchor\" aria-label=\"Permalink: Support\" href=\"#support\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eJoin our community for support and discussions. If you have any questions, feel free to reach out to us using one of the following methods:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://mem0.ai/discord\" rel=\"nofollow\"\u003eJoin our Discord\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://x.com/mem0ai\" rel=\"nofollow\"\u003eFollow us on Twitter\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"mailto:founders@mem0.ai\"\u003eEmail founders\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eContributors\u003c/h2\u003e\u003ca id=\"user-content-contributors\" class=\"anchor\" aria-label=\"Permalink: Contributors\" href=\"#contributors\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eJoin our \u003ca href=\"https://mem0.ai/discord\" rel=\"nofollow\"\u003eDiscord community\u003c/a\u003e to learn about memory management for AI agents and LLMs, and connect with Mem0 users and contributors. Share your ideas, questions, or feedback in our \u003ca href=\"https://github.com/mem0ai/mem0/issues\"\u003eGitHub Issues\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWe value and appreciate the contributions of our community. Special thanks to our contributors for helping us improve Mem0.\u003c/p\u003e\n\u003ca href=\"https://github.com/mem0ai/mem0/graphs/contributors\"\u003e\n \u003cimg src=\"https://camo.githubusercontent.com/f107c6afd1adb1112f86fe17c427bb28c458965ef70874be78fac0e424a87a68/68747470733a2f2f636f6e747269622e726f636b732f696d6167653f7265706f3d6d656d3061692f6d656d30\" data-canonical-src=\"https://contrib.rocks/image?repo=mem0ai/mem0\" style=\"max-width: 100%;\"\u003e\n\u003c/a\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLicense\u003c/h2\u003e\u003ca id=\"user-content-license\" class=\"anchor\" aria-label=\"Permalink: License\" href=\"#license\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis project is licensed under the Apache 2.0 License - see the \u003ca href=\"/anifort/mem0/blob/main/LICENSE\"\u003eLICENSE\u003c/a\u003e file for details.\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Introduction","anchor":"introduction","htmlText":"Introduction"},{"level":3,"text":"Core Features","anchor":"core-features","htmlText":"Core Features"},{"level":3,"text":"How Mem0 works?","anchor":"how-mem0-works","htmlText":"How Mem0 works?"},{"level":3,"text":"Use Cases","anchor":"use-cases","htmlText":"Use Cases"},{"level":2,"text":"Get Started","anchor":"get-started","htmlText":"Get Started"},{"level":2,"text":"Installation Instructions ","anchor":"installation-instructions-","htmlText":"Installation Instructions "},{"level":3,"text":"Basic Usage","anchor":"basic-usage","htmlText":"Basic Usage"},{"level":2,"text":"Documentation","anchor":"documentation","htmlText":"Documentation"},{"level":2,"text":"Star History","anchor":"star-history","htmlText":"Star 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src="https://camo.githubusercontent.com/94088672ebb9e674fd4a0f250561da38b6df08d22087233d0165f3b64045822e/68747470733a2f2f696d672e736869656c64732e696f2f707970692f646d2f6d656d306169" alt="Mem0 PyPI - Downloads" data-canonical-src="https://img.shields.io/pypi/dm/mem0ai" style="max-width: 100%;"> </a> <a href="https://www.ycombinator.com/companies/mem0" rel="nofollow"> <img src="https://camo.githubusercontent.com/cbd5d8722017c9a1eefa0e3620ecdb179dac21fbba84ec4aab7711adfa42c4ea/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f59253230436f6d62696e61746f722d5332342d6f72616e67653f7374796c653d666c61742d737175617265" alt="Y Combinator S24" data-canonical-src="https://img.shields.io/badge/Y%20Combinator-S24-orange?style=flat-square" style="max-width: 100%;"> </a> </p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Introduction</h1><a id="user-content-introduction" class="anchor" aria-label="Permalink: Introduction" href="#introduction"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://mem0.ai" rel="nofollow">Mem0</a>(pronounced "mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. Mem0 remembers user preferences, adapts to individual needs, and continuously improves over time, making it ideal for customer support chatbots, AI assistants, and autonomous systems.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Core Features</h3><a id="user-content-core-features" class="anchor" aria-label="Permalink: Core Features" href="#core-features"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><strong>Multi-Level Memory</strong>: User, Session, and AI Agent memory retention</li> <li><strong>Adaptive Personalization</strong>: Continuous improvement based on interactions</li> <li><strong>Developer-Friendly API</strong>: Simple integration into various applications</li> <li><strong>Cross-Platform Consistency</strong>: Uniform behavior across devices</li> <li><strong>Managed Service</strong>: Hassle-free hosted solution</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">How Mem0 works?</h3><a id="user-content-how-mem0-works" class="anchor" aria-label="Permalink: How Mem0 works?" href="#how-mem0-works"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Mem0 leverages a hybrid database approach to manage and retrieve long-term memories for AI agents and assistants. Each memory is associated with a unique identifier, such as a user ID or agent ID, allowing Mem0 to organize and access memories specific to an individual or context.</p> <p dir="auto">When a message is added to the Mem0 using add() method, the system extracts relevant facts and preferences and stores it across data stores: a vector database, a key-value database, and a graph database. This hybrid approach ensures that different types of information are stored in the most efficient manner, making subsequent searches quick and effective.</p> <p dir="auto">When an AI agent or LLM needs to recall memories, it uses the search() method. Mem0 then performs search across these data stores, retrieving relevant information from each source. This information is then passed through a scoring layer, which evaluates their importance based on relevance, importance, and recency. This ensures that only the most personalized and useful context is surfaced.</p> <p dir="auto">The retrieved memories can then be appended to the LLM's prompt as needed, enhancing the personalization and relevance of its responses.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Use Cases</h3><a id="user-content-use-cases" class="anchor" aria-label="Permalink: Use Cases" href="#use-cases"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Mem0 empowers organizations and individuals to enhance:</p> <ul dir="auto"> <li><strong>AI Assistants and agents</strong>: Seamless conversations with a touch of déjà vu</li> <li><strong>Personalized Learning</strong>: Tailored content recommendations and progress tracking</li> <li><strong>Customer Support</strong>: Context-aware assistance with user preference memory</li> <li><strong>Healthcare</strong>: Patient history and treatment plan management</li> <li><strong>Virtual Companions</strong>: Deeper user relationships through conversation memory</li> <li><strong>Productivity</strong>: Streamlined workflows based on user habits and task history</li> <li><strong>Gaming</strong>: Adaptive environments reflecting player choices and progress</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Get Started</h2><a id="user-content-get-started" class="anchor" aria-label="Permalink: Get Started" href="#get-started"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The easiest way to set up Mem0 is through the managed <a href="https://app.mem0.ai" rel="nofollow">Mem0 Platform</a>. This hosted solution offers automatic updates, advanced analytics, and dedicated support. <a href="https://app.mem0.ai" rel="nofollow">Sign up</a> to get started.</p> <p dir="auto">If you prefer to self-host, use the open-source Mem0 package. Follow the <a href="#install">installation instructions</a> to get started.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Installation Instructions <a name="user-content-install"></a></h2><a id="user-content-installation-instructions-" class="anchor" aria-label="Permalink: Installation Instructions " href="#installation-instructions-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Install the Mem0 package via pip:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install mem0ai"><pre>pip install mem0ai</pre></div> <p dir="auto">Alternatively, you can use Mem0 with one click on the hosted platform <a href="https://app.mem0.ai/" rel="nofollow">here</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Basic Usage</h3><a id="user-content-basic-usage" class="anchor" aria-label="Permalink: Basic Usage" href="#basic-usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Mem0 requires an LLM to function, with <code>gpt-4o</code> from OpenAI as the default. However, it supports a variety of LLMs; for details, refer to our <a href="https://docs.mem0.ai/llms" rel="nofollow">Supported LLMs documentation</a>.</p> <p dir="auto">First step is to instantiate the memory:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="from mem0 import Memory m = Memory()"><pre><span class="pl-k">from</span> <span class="pl-s1">mem0</span> <span class="pl-k">import</span> <span class="pl-v">Memory</span> <span class="pl-s1">m</span> <span class="pl-c1">=</span> <span class="pl-en">Memory</span>()</pre></div> <details> <summary>How to set OPENAI_API_KEY</summary> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import os os.environ["OPENAI_API_KEY"] = "sk-xxx""><pre><span class="pl-k">import</span> <span class="pl-s1">os</span> <span class="pl-s1">os</span>.<span class="pl-c1">environ</span>[<span class="pl-s">"OPENAI_API_KEY"</span>] <span class="pl-c1">=</span> <span class="pl-s">"sk-xxx"</span></pre></div> </details> <p dir="auto">You can perform the following task on the memory:</p> <ol dir="auto"> <li>Add: Store a memory from any unstructured text</li> <li>Update: Update memory of a given memory_id</li> <li>Search: Fetch memories based on a query</li> <li>Get: Return memories for a certain user/agent/session</li> <li>History: Describe how a memory has changed over time for a specific memory ID</li> </ol> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# 1. Add: Store a memory from any unstructured text result = m.add("I am working on improving my tennis skills. Suggest some online courses.", user_id="alice", metadata={"category": "hobbies"}) # Created memory --> 'Improving her tennis skills.' and 'Looking for online suggestions.'"><pre><span class="pl-c"># 1. Add: Store a memory from any unstructured text</span> <span class="pl-s1">result</span> <span class="pl-c1">=</span> <span class="pl-s1">m</span>.<span class="pl-c1">add</span>(<span class="pl-s">"I am working on improving my tennis skills. Suggest some online courses."</span>, <span class="pl-s1">user_id</span><span class="pl-c1">=</span><span class="pl-s">"alice"</span>, <span class="pl-s1">metadata</span><span class="pl-c1">=</span>{<span class="pl-s">"category"</span>: <span class="pl-s">"hobbies"</span>}) <span class="pl-c"># Created memory --> 'Improving her tennis skills.' and 'Looking for online suggestions.'</span></pre></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# 2. Update: update the memory result = m.update(memory_id=<memory_id_1>, data="Likes to play tennis on weekends") # Updated memory --> 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'"><pre><span class="pl-c"># 2. Update: update the memory</span> <span class="pl-s1">result</span> <span class="pl-c1">=</span> <span class="pl-s1">m</span>.<span class="pl-c1">update</span>(<span class="pl-s1">memory_id</span><span class="pl-c1">=</span><span class="pl-c1"><</span><span class="pl-s1">memory_id_1</span><span class="pl-c1">></span>, <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s">"Likes to play tennis on weekends"</span>) <span class="pl-c"># Updated memory --> 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'</span></pre></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# 3. Search: search related memories related_memories = m.search(query="What are Alice's hobbies?", user_id="alice") # Retrieved memory --> 'Likes to play tennis on weekends'"><pre><span class="pl-c"># 3. Search: search related memories</span> <span class="pl-s1">related_memories</span> <span class="pl-c1">=</span> <span class="pl-s1">m</span>.<span class="pl-c1">search</span>(<span class="pl-s1">query</span><span class="pl-c1">=</span><span class="pl-s">"What are Alice's hobbies?"</span>, <span class="pl-s1">user_id</span><span class="pl-c1">=</span><span class="pl-s">"alice"</span>) <span class="pl-c"># Retrieved memory --> 'Likes to play tennis on weekends'</span></pre></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# 4. Get all memories all_memories = m.get_all() memory_id = all_memories[0]["id"] # get a memory_id # All memory items --> 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'"><pre><span class="pl-c"># 4. Get all memories</span> <span class="pl-s1">all_memories</span> <span class="pl-c1">=</span> <span class="pl-s1">m</span>.<span class="pl-c1">get_all</span>() <span class="pl-s1">memory_id</span> <span class="pl-c1">=</span> <span class="pl-s1">all_memories</span>[<span class="pl-c1">0</span>][<span class="pl-s">"id"</span>] <span class="pl-c"># get a memory_id</span> <span class="pl-c"># All memory items --> 'Likes to play tennis on weekends.' and 'Looking for online suggestions.'</span></pre></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="# 5. Get memory history for a particular memory_id history = m.history(memory_id=<memory_id_1>) # Logs corresponding to memory_id_1 --> {'prev_value': 'Working on improving tennis skills and interested in online courses for tennis.', 'new_value': 'Likes to play tennis on weekends' }"><pre><span class="pl-c"># 5. Get memory history for a particular memory_id</span> <span class="pl-s1">history</span> <span class="pl-c1">=</span> <span class="pl-s1">m</span>.<span class="pl-c1">history</span>(<span class="pl-s1">memory_id</span><span class="pl-c1">=</span><span class="pl-c1"><</span><span class="pl-s1">memory_id_1</span><span class="pl-c1">></span>) <span class="pl-c"># Logs corresponding to memory_id_1 --> {'prev_value': 'Working on improving tennis skills and interested in online courses for tennis.', 'new_value': 'Likes to play tennis on weekends' }</span></pre></div> <div class="markdown-alert markdown-alert-tip" dir="auto"><p class="markdown-alert-title" dir="auto"><svg class="octicon octicon-light-bulb mr-2" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M8 1.5c-2.363 0-4 1.69-4 3.75 0 .984.424 1.625.984 2.304l.214.253c.223.264.47.556.673.848.284.411.537.896.621 1.49a.75.75 0 0 1-1.484.211c-.04-.282-.163-.547-.37-.847a8.456 8.456 0 0 0-.542-.68c-.084-.1-.173-.205-.268-.32C3.201 7.75 2.5 6.766 2.5 5.25 2.5 2.31 4.863 0 8 0s5.5 2.31 5.5 5.25c0 1.516-.701 2.5-1.328 3.259-.095.115-.184.22-.268.319-.207.245-.383.453-.541.681-.208.3-.33.565-.37.847a.751.751 0 0 1-1.485-.212c.084-.593.337-1.078.621-1.489.203-.292.45-.584.673-.848.075-.088.147-.173.213-.253.561-.679.985-1.32.985-2.304 0-2.06-1.637-3.75-4-3.75ZM5.75 12h4.5a.75.75 0 0 1 0 1.5h-4.5a.75.75 0 0 1 0-1.5ZM6 15.25a.75.75 0 0 1 .75-.75h2.5a.75.75 0 0 1 0 1.5h-2.5a.75.75 0 0 1-.75-.75Z"></path></svg>Tip</p><p dir="auto">If you prefer a hosted version without the need to set up infrastructure yourself, check out the <a href="https://app.mem0.ai/" rel="nofollow">Mem0 Platform</a> to get started in minutes.</p> </div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Documentation</h2><a id="user-content-documentation" class="anchor" aria-label="Permalink: Documentation" href="#documentation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">For detailed usage instructions and API reference, visit our documentation at <a href="https://docs.mem0.ai" rel="nofollow">docs.mem0.ai</a>. 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