This is a lightweight memory system that lets Claude store learnings in PostgreSQL with embeddings for later retrieval. You invoke it with `/remember` followed by what you learned, and it auto-categorizes the entry into types like WORKING_SOLUTION, ERROR_FIX, or FAILED_APPROACH based on keywords. The real value is accumulating context across sessions so you're not solving the same problem twice. It extracts tags, assigns confidence levels, and returns an ID for each entry. The auto-detection is simple pattern matching on words like "error" or "didn't work", so explicit types are better when you want precision. Most useful in long-running projects where institutional knowledge tends to evaporate between debugging sessions.

skills.sh installs
523
GitHub stars
3.9K
last updated
Aug 21, 2026

Install

$ npx -y skills add parcadei/continuous-claude-v3 --skill remember --agent claude-code

Installs into .claude/skills of the current project.

Files

Remember - Store Learning in Memory

Store a learning, pattern, or decision in the memory system for future recall.

Usage

/remember <what you learned>

Or with explicit type:

/remember --type WORKING_SOLUTION <what you learned>

Examples

/remember TypeScript hooks require npm install before they work
/remember --type ARCHITECTURAL_DECISION Session affinity uses terminal PID
/remember --type FAILED_APPROACH Don't use subshell for store_learning command

What It Does

  1. Stores the learning in PostgreSQL with BGE embeddings
  2. Auto-detects learning type if not specified
  3. Extracts tags from content
  4. Returns confirmation with ID

Learning Types

TypeUse For
WORKING_SOLUTIONFixes, solutions that worked (default)
ARCHITECTURAL_DECISIONDesign choices, system structure
CODEBASE_PATTERNPatterns discovered in code
FAILED_APPROACHWhat didn't work
ERROR_FIXSpecific error resolutions

Execution

When this skill is invoked, run:

Sponsors

Details

Repository
github.com/parcadei/continuous-claude-v3
Category
Productivity & Planning
First seen
Jun 3, 2026

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