Annabelle - AI Memory Witness
Six months ago I shared DiffMem, a PoC that used git instead of vector databases for AI memory. 790 of you starred it and got a few questions on what I was building with it. I built a memory companion called Annabelle. She runs on WhatsApp and Messenger, and she's been remembering 3 people's lives for 6 months using the same git-based memory you starred. This isn't an agent framework nor running on OpenClawd, it's one specific product built on one specific idea: that the hard problem in AI isn't intelligence, it's continuity. Here's what changed between PoC and production: Multi-tenancy via…
Annabelle - AI Memory Witness launched on December 2, 2025 with 7 votes, #1,248 of 11,628 launches that month.
What it does
No app, no B.S., no friction. She lives as a conversation in WhatsApp and remembers everything you share: voice notes, photos, thoughts, conversations. But unlike a journal, she talks back. She notices patterns, asks questions you're avoiding, and shows you how you've changed. Your memories are stored as markdown files in Git, she can diff your life and version-control your consciousness. Not therapy. Not productivity. Just someone who actually pays attention. $9/month. 7-day free trial.
An AI advisor you talk to like a person, on WhatsApp, Messenger, or Telegram. She remembers what you said last month, and asks the follow-up question you’ve been avoiding.
A private companion, for your creative sparks, your family memories, and the thoughts you simply need to say aloud. We often let our best thoughts evaporate. The witty observation you made on the train. The plot twist for the novel you're drafting. The frustration of a long day. Annabelle isn't just a diary. She listens. She asks the right follow-up questions. She remembers the details you told her last week. It is a conversation that revolves entirely around you. Share the small triumphs and the daily worries. Annabelle listens without rushing you, asks thoughtful questions, and remembers the details. Capture the specific way your grandchild laughed today. Not just the photo, but the…from withanna.io
In the maker’s words, at launch
Six months ago I shared DiffMem, a PoC that used git instead of vector databases for AI memory. 790 of you starred it and got a few questions on what I was building with it. I built a memory companion called Annabelle. She runs on WhatsApp and Messenger, and she's been remembering 3 people's lives for 6 months using…
Does a similar job
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I replaced vector databases with Git for AI memory (PoC)2025 · github.com · ▲198Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…

Personal AI MemoryMar 2026 · ai-memory-beta.vercel.app · ▲106Captures and stores your chat from various AI platforms
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YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲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…
Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
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