awesome-second-brain MCP Server
aristoapp/awesome-second-brain
[](https://agentrank-ai.com/tool/aristoapp--awesome-second-brain/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A curated solutions to building a self-evolving second brain that helps AI agents understand your personal and team context.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
aristoapp/awesome-second-brain is a tool licensed under Apache-2.0. A curated solutions to building a self-evolving second brain that helps AI agents understand your personal and team context. Topics: anthropic, awesome, awesome-lists, chatgpt, claude, context, cursor, gemini, openai, copilot, mcp, memory, personalization, llm, local-llm, brain, knowledge, second-brain.
Ranked #22843 out of 24846 indexed tools.
Has 12 contributors.
Ecosystem
Score Breakdown
562 stars → growing community
Last commit 4mo ago → stale
4/25 issues closed → many open issues
12 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<div align="center"> # Awesome AI Second Brain English | [한국어](README.ko.md) </div> > Build a self-evolving second brain that understands you and your team across tools, sources, and workflows. A curated comparison of second brain, AI memory, and knowledge systems for people who want AI to understand their personal context, team knowledge, and working history. It focuses on the full lifecycle: collecting scattered context, organizing it into durable knowledge, keeping it fresh over time, and making it useful when people or AI tools work. ## Second-Brain Lifecycle Use this repo to decide how you want your second brain to work end to end: | Stage | Key question | What to compare | |---|---|---| | Collect | How does context from chats, docs, apps, notes, calendars, Slack, email, code, and files enter the brain? | Connectors, imports, APIs, manual notes, custom collectors | | Organize | Does raw context become structured knowledge instead of a pile of embeddings? | Entities, facts,Read full README on GitHub →
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