SQLite Memory – Markdown based AI agent memory with offline-first sync
Markdown based AI agent memory with semantic search, hybrid retrieval, and offline-first sync between agents. - sqliteai/sqlite-memory
SQLite Memory – Markdown based AI agent memory with offline-first sync launched on April 7, 2026 with 10 votes, #1,251 of 21,248 launches that month and more than 90% of that year's launches.
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
Does a similar job
all alternatives →
MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory



A local-first memory store for LLM agents (SQLite)Dec 2025 · github.com · ▲48Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - CaviraOSS/LongMemory
Agent Memory SystemMay 2026 · ravbyte-ai.github.io · ▲9Open Source Context Infrastructure for AI Agents
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