memory

name	memory
description	Store and retrieve project knowledge - decisions, learnings, artifacts, gotchas. Provides ephemeral thinking documents for deliberation and agent-scoped namespaces for isolated agent knowledge. Use for recording decisions, searching past knowledge, checking gotchas, linking memories, saving patterns. Trigger words - remember, store, save, record, decision, learning, gotcha, artifact, pattern, search memory, check gotchas, brainstorm, deliberate, pros and cons. Note - memory think preferred over sequential-thinking MCP as thoughts persist and can be promoted to permanent memories.
version	1.6.0

Purpose

Persist project knowledge across sessions. Record decisions, capture learnings, store code patterns, and retrieve context when needed. Prevents knowledge loss and repeated mistakes.

When to Invoke

• Recording decisions, learnings, gotchas, or artifacts
• User says "remember", "store", "save", "record this"
• User asks "what did we decide about...", "why did we..."
• Before starting significant work (check gotchas first!)
• After fixing non-obvious bugs or making architectural decisions
• When deliberating on complex choices (use think commands)
• User says "brainstorm", "weigh options", "think through", "pros and cons"
• When you need documented chain-of-thought before committing to a decision
• When working with specialised agents that need their own knowledge base (--agent flag)

Usage

The memory skill is a TypeScript CLI that runs on Bun.

Prerequisites

Install Bun (if not already installed): Visit https://bun.sh/docs/installation or run:

curl -fsSL https://bun.sh/install | bash

Setup

From the plugin installation directory, run:

bun link

This creates a global memory command. The plugin directory is typically: ~/.claude/plugins/cache/local-memory-plugin/claude-memory-plugin/1.0.0/

Invocation

memory <command> [options]
memory help                    # Quick reference
memory help --full             # Detailed documentation
memory <command> -h            # Command-specific help

Command Reference

Run memory help for quick reference, or memory <command> -h for command-specific help.

Category	Command	Description
CRUD	write [--auto-link]	Create/update memory from JSON stdin
	read <id>	Read a memory by ID
	list [type] [tag]	List memories with optional filters
	search <query>	Search titles and content
	semantic <query>	Search by meaning using embeddings
	delete <id>	Delete a memory
	agents	List all registered agents with memory counts
Graph	link <from> <to>	Create relationship edge
	unlink <from> <to>	Remove relationship edge
	bulk-link [file]	Create multiple links from JSON
	edges <id>	Show inbound/outbound edges for node
	graph [scope]	Output graph as JSON
	mermaid [options]	Generate Mermaid diagram
	remove-node <id>	Remove node from graph (keeps file)
Analysis	stats [scope]	Graph statistics (ratio, hubs, sinks)
	query [options]	Filter memories (type, tags, edges)
	impact <id>	Show what depends on a memory (--json, --depth)
Tags	tag <id> <tags...>	Add tags to memory
	untag <id> <tags...>	Remove tags from memory
Quality	quality <id>	Assess quality score (--deep for LLM)
	audit [scope]	Bulk quality scan (--threshold, --deep)
	audit-quick [scope]	Fast deterministic-only audit
Maintenance	health [scope]	Quick health check with score
	validate [scope]	Detailed validation with issues
	sync [scope]	Reconcile graph, index, and disk
	repair [scope]	Run sync then validate
	rebuild [scope]	Rebuild from disk (use with caution)
	reindex <id>	Re-index an orphan file
	bulk-delete [options]	Delete memories by pattern/type/tags (--dry-run)
	refresh [scope]	Backfill missing frontmatter fields and edge similarity scores
	setup [--force]	Create local settings file from template
Bulk	bulk-move [options]	Move memories matching pattern
	bulk-promote [options]	Promote memories to type
	bulk-tag [options]	Add/remove tags from memories
	bulk-unlink [options]	Remove links from memories
Utility	rename <old> <new>	Rename memory ID (updates refs)
	move <id> <scope>	Move between local/global
	promote <id> <type>	Convert memory type (preserves edges)
	demote <id> <type>	Reverse conversion (alias for promote)
	prune	Remove expired temporaries
	status	Show system status
	summarize [type]	Generate summary rollups
	archive <id>	Archive a memory
	suggest-links	Suggest relationships (cached embeddings)
	export [scope]	Export graph snapshot to JSON
	import <file>	Import graph snapshot (--merge/replace)
	sync-frontmatter [scope]	Bulk sync frontmatter from graph.json
Thinking	think create <topic>	Create ephemeral thinking document
	think add <thought>	Add thought to current document
	think counter <thought>	Add counter-argument
	think branch <thought>	Add alternative/branch
	think list	List all thinking documents
	think show [id]	View document contents
	think use <id>	Switch current document
	think conclude <text>	Conclude (--promote type to save)
	think delete <id>	Delete thinking document

Think Command Flags (v1.1.0)

Flag	Description
--call <provider>	Invoke AI to generate thought (claude/codex/gemini)
--auto	AI-powered style/agent selection (Ollama → heuristics)
--style <name>	Apply output style (Claude only)
--agent <name>	Use agent persona (Claude only)
--model <model>	Specify model for provider
--oss	Use OSS models (Codex only)
--non-interactive	Suppress hints and prompts

Examples:

# AI-generated thought with auto-selected style
memory think add "Review security implications" --call claude --auto

# Cross-provider calling
memory think add "Analyse performance" --call codex --model gpt-5-codex
memory think counter "Consider alternatives" --call gemini

# With explicit style and agent
memory think add "Deep analysis" --call claude --style Devils-Advocate --agent security-reviewer

Agent Scope Flags (v1.3.0)

Flag	Description
--agent <name>	Target a specific agent's memory namespace
--include-shared	Include project/global memories alongside agent memories (read operations)
--all-agents	Apply to all agents (listing/stats operations)
--target-agent <name>	Specify target agent for cross-agent linking

Examples:

# Write a memory to an agent's namespace
memory write --title "ESM imports need .js" --type learning --agent typescript-expert

# Search within agent scope, including shared project memories
memory search "imports" --agent typescript-expert --include-shared

# List all agents with memory counts
memory agents

# Agent health check
memory health --agent typescript-expert

# Agent graph visualisation
memory mermaid --agent typescript-expert

Agent memories are isolated by default. Use --include-shared to also search project and global scopes. Commands without --agent behave identically to v1.2.0.

Memory Injection (v1.1.0)

The PostToolUse hook can inject relevant memories into agent context. Configure in .claude/memory.local.md:

injection:
  types:
    gotcha:
      enabled: true      # Default: true
      threshold: 0.2
      limit: 5
    decision:
      enabled: false     # Set true to inject decisions
      threshold: 0.35
      limit: 3
    learning:
      enabled: false     # Set true to inject learnings
      threshold: 0.4
      limit: 2
  hook_multipliers:
    Read: 1.0
    Edit: 0.8            # Lower threshold = more sensitive
    Write: 0.8
    Bash: 1.2            # Higher threshold = less noise

Configuration

The plugin works out-of-the-box with sensible defaults. Power users can customise behaviour via .claude/memory.local.md.

Quick Start:

1. Copy .claude/memory.example.md to .claude/memory.local.md
2. Edit settings as needed
3. Add .claude/*.local.md to .gitignore

Available Settings:

Setting	Type	Default	Description
enabled	boolean	true	Master switch for plugin
ollama_host	string	http://localhost:11434	Ollama API endpoint
chat_model	string	gemma3:4b	Model for summaries/chat
embedding_model	string	embeddinggemma:latest	Model for semantic search
context_window	number	16384	Max tokens for context
health_threshold	number	0.7	Graph health warning threshold
semantic_threshold	number	0.45	Semantic search similarity cutoff
auto_sync	boolean	false	Run memory sync on session start

Example Configuration:

---
ollama_host: http://192.168.1.100:11434
chat_model: llama3.2
embedding_model: nomic-embed-text
---

See .claude/memory.example.md for full documentation.

Requirements

• Bun - TypeScript runtime (install via bun link from plugin root)

• Ollama (optional) - Required for semantic features:

  • semantic search by meaning
  • write --auto-link automatic linking
  • suggest-links relationship suggestions
  • refresh --embeddings embedding generation
  • refresh --score-edges batch edge similarity scoring

  Install: ollama pull embeddinggemma (see Ollama docs)

  Without Ollama, semantic features gracefully fall back to keyword search. The plugin continues to function for core operations (memory storage, graph management, keyword search).

Full Documentation

See README.md for detailed documentation on:

• Architecture and code structure
• Data contracts and storage layout
• Quality assessment system
• Semantic search and auto-linking
• Thinking sessions workflow
• Troubleshooting guide