remindb — MCP Server by radimsem

by radimsem · MCP Server · ★ 89

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About remindb

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

agent-memoryai-agentsastclaude-codeclicodexdeveloper-toolsfts5gemini-cligolang

Quick Facts

Stars89
Forks3
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score34.25/100
Open Issues14
Last Updated2026-05-12
Created2026-04-15
Platformsclaude-code, cli, codex, gemini, go, mcp
Est. Tokens~89k

remindb alternative? Top 6 similar tools

Looking for a remindb alternative? If you're comparing remindb with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Bui

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  • claudex by kunwar-shah · ⭐ 88

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  • memorix by AVIDS2 · ⭐ 438

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Cursor, Claude Code, Codex, Wi

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Frequently Asked Questions

What is remindb?

remindb is An agentic memory database that cuts session tokens by 75–99%. One portable SQLite file — your agent's memory, anywhere.. It is categorized as a MCP Server with 89 GitHub stars.

What programming language is remindb written in?

remindb is primarily written in Go. It covers topics such as agent-memory, ai-agents, ast.

How do I install or use remindb?

You can find installation instructions and usage details in the remindb GitHub repository at github.com/radimsem/remindb. The project has 89 stars and 3 forks, indicating an active community.

What license does remindb use?

remindb is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to remindb?

The top alternatives to remindb on Agent Skills Hub include swarmvault, OpenContext, guild. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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