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Memory & Context/

remindb

remindb

Active·★ 129·MIT·Updated 2026-08-03

remindb stores agentic memory in a single SQLite file. It parses notes into a structured tree with temperature tracking, enables efficient retrieval via FTS5 search, and supports versioning and summarization. This reduces token costs compared to re-reading raw files every session.

#agent-memory#ai-agents#ast#claude-code#cli#codex#developer-tools

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#fts5

$ Install

$ curl -fsSL https://raw.githubusercontent.com/radimsem/remindb/main/install.sh | bash

↗ Visit site ★ GitHub

01

Features

01Structured memory tree with typed nodes (heading, list, code, etc.)

02Temperature mechanism that tracks node usage and promotes hot content

03Automatic summarization of cold nodes via agent-driven compaction

04Git-style versioning with per-node diffs and snapshot cursors

05Full-text search (FTS5) with token budget control

02

Compatibility

Linux

Linux

Verified via docs

macOS

macOS

Verified via docs

Windows

Windows

Verified via docs

03

Quick start

1

$ curl -fsSL https://raw.githubusercontent.com/radimsem/remindb/main/install.sh | bash

04

Use cases

↳Prevent coding agents from re-reading the same notes every session

↳Maintain persistent, cross-session memory for MCP-capable agents

↳Share memory between different agents or devices via a portable .db file

05

Alternatives

⚡Top VS:

VSaltk-evolve★131→VSorigin★86→VSctx-open★59→VS

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On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

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See all alternatives →

radimsem /

remindb

↗

An agentic memory database that cuts session tokens by 75–99%. One portable SQLite file — your agent's memory, anywhere.

129MIT

Last commit2mo ago

StatusActive

CategoryMemory & Context

Links

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