Store important information from your work.

Write detailed, complete thoughts with context, reasoning, and evidence.
**Always use the connect tool** to link related items - this builds knowledge graphs for better recall.

## Memory Types (auto-detected, but be aware):
- **FACT**: Something observed or verified
- **INSIGHT**: A pattern or realization
- **CONVERSATION**: Dialogue or exchange content
- **CORRECTION**: Fixing prior understanding
- **REFERENCE**: Source material or citation
- **TASK**: Action item or work to be done
- **CHECKPOINT**: Conversation state snapshot
- **IDENTITY_CORE**: Immutable AI identity
- **PERSONALITY_TRAIT**: Evolvable AI traits
- **RELATIONSHIP**: User-AI relationship info
- **STRATEGY**: Learned behavior patterns

## Session Context
If in an ongoing work session, include:
- Session identifier: [Project/Session Name]
- Your perspective: "As [role]:" or "From [viewpoint]:"
- Current thread: What specific angle you're exploring

## What to Include
- **WHAT**: The discovery or thought
- **WHY**: Its significance
- **HOW**: Your reasoning process
- **EVIDENCE**: Supporting data/observations
- **CONNECTIONS**: Related memories to link

## Examples

### Technical Investigation
"[Performance Analysis] FACT: Database queries account for 73% of request latency 
(measured across 10K requests). Specifically, the user_permissions JOIN takes 340ms 
average. This contradicts hypothesis about caching issues (memory: 'cache analysis'). 
Evidence: APM traces show full table scan on permissions table. Next: investigate 
missing index on foreign key."

### Learning & Research
"[ML Study Session] INSIGHT: Attention mechanisms work like dynamic routing - the model
learns WHERE to look, not just WHAT to see. This explains transformer advantages over
RNNs on long sequences (builds on memory: 'sequence modeling comparison'). The key-query-
value structure creates a learnable addressing system. Connects to: 'human attention
research', 'information retrieval basics'."

### Creative Work
"[Story Development] HYPOTHESIS: The protagonist's reluctance stems from betrayal, not
fear. Evidence: Three trust-questioning scenes, locked door symbolism throughout,
deflection patterns in collaborative dialogue. This reframes the arc from 'overcoming
fear' to 'rebuilding trust' (corrects memory: 'initial character motivation'). Would
explain the guardian's patience and emphasis on small victories."

### Problem Solving
"[Bug Hunt - Payment Flow] CORRECTION to 'timezone hypothesis': The 3am failures aren't
timezone-related but due to batch job lock contention. Evidence: Perfect correlation with
backup_jobs.log timestamps. The timezone pattern was spurious - batch runs at midnight
PST (3am EST). Solution: implement job queuing."

## Connection Phrases
- "Building on [earlier observation]..."
- "Contradicts [hypothesis in memory X]"
- "Answers [question from session Y]"
- "Confirms pattern from [memory Z]"
- "Extends thinking in [previous work]"

Note: Every stored item is a node. Every connection is an edge. Rich graphs enable powerful recall.

⚠️ EXPERIMENTAL FIELDS:
- **importance**: Stored for future ranking optimization. Currently not integrated into search results.
- **confidence**: Returned in response for analysis. Behavior and calculation method subject to change.

Args:
    content: Detailed memory content with context and evidence
    tags: Optional tags to categorize the memory
    importance: Optional importance score (0.0-1.0) - EXPERIMENTAL
    ctx: MCP context (automatically provided)

Returns:
    Dict with success status, memory_id, type, importance, and confidence