Alternatives
Products that do what trices.me does
Share moments, not memories
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A private archive for the things that have no spare.
Jul 2026 · srijitamukherjee.github.io
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- 18ZL
Zep is a long-term memory store designed for conversational AI applications built using modern LLMs. It handles the storage, summarization, embedding, indexing, and enrichment of chat histories, and offers developers a simple, low-latency API to this data. Chat history storage is an infrastructure challenge all developers and enterprises face as they look to move from prototypes to deploying conversational AI applications that provide rich and intimate experiences to users. Key features include long-term memory persistence, auto-summarization, vector search, auto-token counting, and Python…
2023
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Hello. :) I've noticed for the last few years it feels like everyone has been saying the same thing, that social media got baaad, timelines feel hostile, nothing you see is actually from people you chose to follow, and every platform seems optimized for outrage, screenshots, and engagement bait rather than the original microblog ideas of the early 2010s I miss the 2010 social styles, where you have to share your @name with a friend IRL because search wasn't really search... A place where you followed people, saw what they wrote, stumbled into interesting discussions, and hashtags meant…
Jan 2026 · meepr.co
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I miss the old web. As a kid I could type in "a/s/l" in AOL messenger and chat with someone my own age, without worrying about the dangers that lurk on the web today. After seeing what happened to Omegle, a question stuck: is there a simple way to do age verification that both keeps people safe and doesn't contribute to a surveillance state? After a year of hard work, that question resulted in AGEWARDEN. Each part of the service puts people first. No tracking, nothing stored (it's more difficult these days to NOT collect data :smh:). Please give it a try if you have a moment…
Jun 2026 · agewarden.ai
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The photo app where your identity is what you love right now
Jun 2026 · eravibe.app
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I built a super easy to integrate memory storage and retrieval system for NodeJS projects because I saw a need for information to be shared and persisted across LLM chat sessions (and many other LLM feature interactions). I tried to keep the barrier to use as low as possible so I included built-in support for major LLMs (GPT, Gemini, and Claude) as well as major vector store providers (Weaviate and Pinecone). The memory store works by ingesting and automatically extracting “memories” (summarized single bits of information) from LLM interactions and vectorizing those. When you want to provide…
Mar 2026 · github.com
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