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TT-Wang/cortex-plugin

by Various

A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mine

T

MCP

TT-Wang/cortex-plugin

Added 1 June 2026

#anthropic #claude-code #claude-code-plugin #local-first #mcp #mcp-server #memory #obsidian

Overview

A Claude Code plugin that gives Claude persistent memory across sessions. It stores lessons and decisions as markdown files in an Obsidian vault and searches them with SQLite FTS5. The plugin automatically mines past transcripts for relevant context.

Best for

Best for
Developers using Claude Code who want long-term context stored in an Obsidian knowledge base

Use cases

  • Persisting lessons learned across Claude Code sessions
  • Retrieving past decisions from an Obsidian vault during coding
  • Automatically extracting context from old transcripts

How to use

Tools exposed

  • memory_save
  • active_memory_slice
  • transcript_search

Tested with

Claude Code

Notes

A Claude Code plugin that gives Claude persistent memory across sessions. It stores lessons and decisions as markdown files in an Obsidian vault and searches them with SQLite FTS5. The plugin automatically mines past transcripts for relevant context.

34 stars on GitHub. Last updated 2026-05-17. Licensed MIT.

Use cases

  • Persisting lessons learned across Claude Code sessions
  • Retrieving past decisions from an Obsidian vault during coding
  • Automatically extracting context from old transcripts

Pros

  • Leverages Obsidian for human-readable markdown storage
  • Uses SQLite FTS5 for fast full-text search
  • Automatically mines transcripts to reduce manual curation

Cons

  • Requires an Obsidian vault setup
  • Small community (34 stars) means less testing and support
  • Python dependency adds setup overhead for users

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages Obsidian for human-readable markdown storage
  • Uses SQLite FTS5 for fast full-text search
  • Automatically mines transcripts to reduce manual curation

Cons

  • Requires an Obsidian vault setup
  • Small community (34 stars) means less testing and support
  • Python dependency adds setup overhead for users

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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