[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"readme:memanto":3},"\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fwww.memanto.ai\u002F\" rel=\"nofollow ugc noopener\">\n    \u003Cimg alt=\"MEMANTO Logo\" src=\"https:\u002F\u002Fgithub.com\u002Fmoorcheh-ai\u002Fmemanto\u002Fraw\u002Fmain\u002Fassets\u002Fmemanto-logo.svg\" width=\"500\" \u002F>\n    \u003C\u002Fa>\n\u003C\u002Fp>\u003Cdiv align=\"center\">\n  \u003Ch1>Memory that AI Agents Love!\u003C\u002Fh1>\n\u003C\u002Fdiv>\u003Ch2>\n  \u003Cem>A companion memory agent that lets your agents focus and improve while you keep ownership of everything they learn.\u003C\u002Fem>\n\u003C\u002Fh2>\u003Cp align=\"center\">\n  Persistent memory for Claude Code, Cursor, Codex, and 14+ other agents, built on the world's first information-theoretic search engine. 100% free, open source, and runs entirely on your machine - no API keys, no vector database, no backend to babysit.\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fmemanto.ai\u002Fdiscord\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FJoin-Discord-5865F2?style=for-the-badge&amp;logo=discord&amp;logoColor=white\" alt=\"Join Discord\" \u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=vEtOaoweIG4\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FSetup-Video-FF0000?style=for-the-badge&amp;logo=youtube&amp;logoColor=white\" alt=\"Setup Video\" \u002F>\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fdocs.memanto.ai\" rel=\"nofollow ugc noopener\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDocs-memanto.ai-000000?style=for-the-badge&amp;logo=readthedocs&amp;logoColor=white\" alt=\"Docs\" \u002F>\n  \u003C\u002Fa>\n\u003C\u002Fp>\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fpepy.tech\u002Fprojects\u002Fmemanto\" rel=\"nofollow ugc noopener\">\u003Cimg alt=\"PyPI - Total Downloads\" src=\"https:\u002F\u002Fstatic.pepy.tech\u002Fpersonalized-badge\u002Fmemanto?period=total&amp;units=INTERNATIONAL_SYSTEM&amp;left_color=BLACK&amp;right_color=GREEN&amp;left_text=downloads\" \u002F>\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fdeepwiki.com\u002Fmoorcheh-ai\u002Fmemanto\" rel=\"nofollow ugc noopener\">\u003Cimg alt=\"Ask DeepWiki\" src=\"https:\u002F\u002Fdeepwiki.com\u002Fbadge.svg\" \u002F>\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\" rel=\"nofollow ugc noopener\">\u003Cimg alt=\"License: MIT\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg\" \u002F>\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fmemanto\u002F\" rel=\"nofollow ugc noopener\">\u003Cimg alt=\"PyPI Version\" src=\"https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fmemanto.svg?color=%2334D058\" \u002F>\u003C\u002Fa>\n    \u003Ca href=\"https:\u002F\u002Fx.com\u002Fmoorcheh_ai\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Furl\u002Fhttps\u002Ftwitter.com\u002Flangchain.svg?style=social&amp;label=Follow%20%40Moorcheh.ai\" alt=\"Twitter \u002F X\" \u002F>\u003C\u002Fa>\n\u003C\u002Fp>\u003Cp align=\"center\">\u003Ca href=\"https:\u002F\u002Ftrendshift.io\u002Frepositories\u002F27378\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Ftrendshift.io\u002Fapi\u002Fbadge\u002Frepositories\u002F27378\" alt=\"moorcheh-ai%2Fmemanto | Trendshift\" width=\"250\" height=\"55\" \u002F>\u003C\u002Fa>\u003C\u002Fp>\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fwww.star-history.com\u002F?repos=moorcheh-ai%2Fmemanto&amp;type=date&amp;legend=top-left\" rel=\"nofollow ugc noopener\">\n     \u003Cpicture>\n       \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fchart?repos=moorcheh-ai\u002Fmemanto&amp;type=date&amp;theme=dark&amp;legend=top-left&amp;sealed_token=F0cHJrwopUW4YPi2zfB_I0fyL6fMN9vthMIbna4RgBRF8_XghWY1qhlffjMsgfqvqxVNnGiVnHGC7PKwgrUjBZ_rV-rBfekLZGYgRPBJHkMFy2JVJzXa3A\">\u003C\u002Fsource>\n       \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fchart?repos=moorcheh-ai\u002Fmemanto&amp;type=date&amp;legend=top-left&amp;sealed_token=F0cHJrwopUW4YPi2zfB_I0fyL6fMN9vthMIbna4RgBRF8_XghWY1qhlffjMsgfqvqxVNnGiVnHGC7PKwgrUjBZ_rV-rBfekLZGYgRPBJHkMFy2JVJzXa3A\">\u003C\u002Fsource>\n       \u003Cimg alt=\"Star History Chart\" src=\"https:\u002F\u002Fapi.star-history.com\u002Fchart?repos=moorcheh-ai\u002Fmemanto&amp;type=date&amp;legend=top-left&amp;sealed_token=F0cHJrwopUW4YPi2zfB_I0fyL6fMN9vthMIbna4RgBRF8_XghWY1qhlffjMsgfqvqxVNnGiVnHGC7PKwgrUjBZ_rV-rBfekLZGYgRPBJHkMFy2JVJzXa3A\" \u002F>\n     \u003C\u002Fpicture>\n    \u003C\u002Fa>\n\u003C\u002Fp>\u003Chr \u002F>\n\u003Ch2>What Is MEMANTO?\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>MEMANTO is a memory agent. It remembers, recalls, and answers — so your agents can achieve long-term goals and avoid confusion.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Most memory tools today are passive infrastructure: agents have to query them, parse the results, and figure out what to do next. MEMANTO is built differently. It's an active memory agent designed from the gaps agents themselves named when asked about their memory — three operations (\u003Ccode>remember\u003C\u002Fcode>, \u003Ccode>recall\u003C\u002Fcode>, \u003Ccode>answer\u003C\u002Fcode>) that give your agents persistent context across sessions, with state-of-the-art retrieval and zero ingestion latency.\u003C\u002Fp>\n\u003Cp>&lt;di\u003C\u002Fp>\n",1784853423704]