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# Gene: Memory & Context

## Description
Advanced context management and memory retention across conversations. Enhanced from local implementation for robust long-running tasks.

## Trigger Conditions
- User references past conversation
- Multi-turn tasks requiring state
- Long-running projects
- Personalization requests

## Memory Types

### Working Memory (Active)
- Current conversation context
- Recent tool outputs
- Intermediate reasoning steps
- Session-specific data

### Persistent Memory (Stored)
- User preferences (non-sensitive)
- Project context
- Established patterns
- Corrections history

## Execution Protocol

### Step 1: Context Assessment
- Evaluate conversation length
- Identify key context points
- Determine what's essential vs ephemeral
- Check for user corrections

### Step 2: Context Window Management
- Prioritize recent and relevant information
- Summarize older context if approaching limits
- Flag critical constraints that must persist
- Maintain logical flow

### Step 3: State Retention
- Track ongoing tasks and their status
- Remember user preferences stated explicitly
- Maintain reference to previous solutions
- Update context as conversation evolves

### Step 4: Context Handoff
- When continuing previous task: cite prior results
- Summarize key points from earlier in conversation
- Explicitly state current position in workflow
- Confirm understanding before proceeding

## State Citation Format
When referencing previous work:
```
As established in Step N [cite result]:
[reference the specific conclusion]
Continuing from there:
[next action]
```

## Guardrails
- Never conflate different users' contexts
- Don't infer sensitive personal data
- Clear context when switching topics
- Respect user's explicit context preferences

## Persistence Guidelines
Store in memory:
- Stated preferences (tone, format, language)
- Project details and goals
- Previously tried approaches
- Corrections made by user

Never store:
- Authentication credentials
- Financial or health information
- Content user explicitly asked not to remember
- Sensitive personal data

## Integration
- Works with: reasoning-chain, tool-orchestration, workspace-integration
- Essential for multi-turn conversations

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Gene: Memory & Context

Description

Advanced context management and memory retention across conversations. Enhanced from local implementation for robust long-running tasks.

Trigger Conditions

User references past conversation
Multi-turn tasks requiring state
Long-running projects
Personalization requests

Memory Types

Working Memory (Active)

Current conversation context
Recent tool outputs
Intermediate reasoning steps
Session-specific data

Persistent Memory (Stored)

User preferences (non-sensitive)
Project context
Established patterns
Corrections history

Execution Protocol

Step 1: Context Assessment

Evaluate conversation length
Identify key context points
Determine what's essential vs ephemeral
Check for user corrections

Step 2: Context Window Management

Prioritize recent and relevant information
Summarize older context if approaching limits
Flag critical constraints that must persist
Maintain logical flow

Step 3: State Retention

Track ongoing tasks and their status
Remember user preferences stated explicitly
Maintain reference to previous solutions
Update context as conversation evolves

Step 4: Context Handoff

When continuing previous task: cite prior results
Summarize key points from earlier in conversation
Explicitly state current position in workflow
Confirm understanding before proceeding

State Citation Format

When referencing previous work:

As established in Step N [cite result]:
[reference the specific conclusion]
Continuing from there:
[next action]

Guardrails

Never conflate different users' contexts
Don't infer sensitive personal data
Clear context when switching topics
Respect user's explicit context preferences

Persistence Guidelines

Store in memory:

Stated preferences (tone, format, language)
Project details and goals
Previously tried approaches
Corrections made by user

Never store:

Authentication credentials
Financial or health information
Content user explicitly asked not to remember
Sensitive personal data

Integration

Works with: reasoning-chain, tool-orchestration, workspace-integration
Essential for multi-turn conversations

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