SQLite Memory – Markdown based AI agent memory with offline-first sync

In plain words

SQLite Memory is an AI agent memory system that uses Markdown format and operates offline-first with sync capabilities. It stores conversation history and context for AI applications in a lightweight SQLite database, allowing developers to build persistent memory into AI agents without requiring constant internet connectivity. The tool is designed for developers building AI systems who need reliable, local data storage with eventual synchronization across devices.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

https://github.com/sqliteai/sqlite-memory

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  MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70

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  MemoriMay 2026 · memorilabs.ai · ▲168

  Persistent memory from agent trace, not just conversation

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  Query MemoryMar 2026 · querymemory.com · ▲100

  One API for all documents your AI agents need

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  AskAIBaseFeb 2026 · askaibase.com · ▲84

  Memory infrastructure for AI coding agents

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  A local-first memory store for LLM agents (SQLite)Dec 2025 · github.com · ▲48

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  Agent Memory SystemMay 2026 · ravbyte-ai.github.io · ▲9

  Open Source Context Infrastructure for AI Agents

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• AG
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  AI · Apr 2026 · text.blogosphere.app