A local-first memory store for LLM agents (SQLite)

In plain words

This is a local-first memory storage system built on SQLite, designed specifically for LLM agents to store and retrieve information. It runs locally on a user's machine rather than relying on cloud services, giving users control over their data. The system is intended for developers building AI agents that need persistent memory capabilities. It's available as open-source code on GitHub.

written from the facts on this page · September 2026

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  AgentmemoryMay 2026 · agent-memory.dev · ▲310

  Persistent memory for Claude Code, Codex & coding agents

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  Yet another memory system for LLMs2025 · github.com · ▲165

  Built this for my LLM workflows - needed searchable, persistent memory that wouldn't blow up storage costs. I also wanted to use it locally for my research. It's a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I'm currently using in the repo. The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.

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  PMBJun 2026 · pmbai.dev · ▲211

  PMB gives Claude Code, Cursor, Codex and Zed a real memory. Decisions, lessons and facts in one SQLite file on your disk. Offline, no API keys, no cloud.

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  MemoryCustodianJul 2026 · github.com · ▲145

  Repo-native memory for coding agents

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  Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112

  I 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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  YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲93

  This 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…

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  Spira Maxima▲578

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  Germany's new sovereign AI model Kolibri▲424

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  Life & fun · Dec 2025 · dosaygo-studio.github.io

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  PlanEat AI▲733

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  22 GB of Hacker News in SQLite▲730

  Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…

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  CyberCut AI▲723

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