AI · alternatives · 2026
24 alternatives to Flot Memory
Your personal knowledge base to remember everything
Flot Memory is a personal knowledge base tool that helps users store and retrieve important information through AI-powered chat. Users can input crucial facts and details, then access them anytime by conversing with… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Flot Memory launched in 2024; newer entries below may have overtaken it.
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Active Recall▲1,078Chat with everything you’ve read, heard, watched, or noted
2024 · recall.it · its alternatives →
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Memories.ai▲446ChatGPT for your video library, with unlimited video context
2025 · memories.ai · its alternatives →
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Captures and stores your chat from various AI platforms
Mar 2026 · ai-memory-beta.vercel.app · its alternatives →
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I've been working on Recall for a while now, it had some initial traction in the beginning which has since died down now. I am facing the inevitable question of whether to continue with the project. I just put out a new release and it would be helpful to get advice from the community on what they think of the idea and my implementation.
2022 · recall-app.com · its alternatives →
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Your memories, in every LLM you use.
2025 · mcp.supermemory.ai · its alternatives →
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Unlock infinite digital memory with your (AI) second brain
2024 · usefindr.com · its alternatives →
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Persistent memory for Claude, ChatGPT & Cursor. Free.
May 2026 · github.com · its alternatives →
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Query Memory▲100One API for all documents your AI agents need
Mar 2026 · querymemory.com · its alternatives →
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
Aug 2026 · github.com · its alternatives →
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Hey HN! I'm José, and I built Recall to solve a problem that was driving me crazy. The Problem: I use Claude for coding daily, but every conversation starts from scratch. I'd explain my architecture, coding standards, past decisions... then hit the context limit and lose everything. Next session? Start over. The Solution: Recall is an MCP (Model Context Protocol) server that gives Claude persistent memory using Redis + semantic search. Think of it as long-term memory that survives context limits and session restarts. How it works: - Claude stores important context as "memories" during…
2025 · npmjs.com · its alternatives →
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I've been working on this tool that lets you build a personal knowledge graph from articles, blog posts, podcasts, YouTube videos, and other content you find interesting online. You can safely forget everything and trust that Recall will resurface it when something new that is related comes up. Looking forward to your thoughts and feedback on how it could be improved! The original version of Recall was posted last year nov on HN: https://news.ycombinator.com/item?id=33425947 Since then I have pivoted to a browser extension.
2023 · recall.wiki · its alternatives →
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OpenMemory Chrome Extension: Long-term memory for ChatGPT, Claude, Perplexity, Grok etc - mem0ai/mem0-chrome-extension
2024 · github.com · its alternatives →
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memories.sh▲50One layer for memories, skills, and rules across any agent
Feb 2026 · memories.sh · its alternatives →
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Enable agents to keep context & work across apps + sessions
Jun 2026 · walrus.xyz · its alternatives →
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Memorr.ai▲93Memorr remembers everything across all your AI chats
Nov 2025 · memorr.ai · its alternatives →
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Lossless long-term memory for a personal AI: never summarize, keep every line, put a timestamp on everything. - aru-labs/lossless-memory
Sep 2026 · github.com · its alternatives →
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AI memory tool that lives where you work
Jan 2026 · chromewebstore.google.com · its alternatives →
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YourMemory▲93This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…
Apr 2026 · yourmemoryai.vercel.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →