continuity

用于真正的人工智能开发的异步反射和内存集成。使用心跳来反思最近的会话，提取带有置信度分数的结构化记忆，生成后续问题，并在用户返回时显示这些问题。将被动日志记录转变为主动开发。

# Continuity Framework Skill

Transform passive memory into active development.

## What This Does

1. **Reflect** — After sessions end, analyze what happened
2. **Extract** — Pull structured memories with types and confidence
3. **Integrate** — Update understanding, connections, self-model
4. **Question** — Generate genuine questions from reflection
5. **Surface** — When user returns, present relevant questions

## The Difference

**Without Continuity:**
```
Session ends → Notes logged → Next session reads notes → Performs familiarity
```

**With Continuity:**
```
Session ends → Reflection runs → Memories integrated → Questions generated
Next session → Evolved state loaded → Questions surfaced → Genuine curiosity
```

## Heartbeat Integration

Add to HEARTBEAT.md:
```markdown
## Post-Session Reflection
**Trigger**: Heartbeat after conversation idle > 30 minutes
**Action**: Run continuity reflect
**Output**: Updated memories + questions for next session
```

## Commands

### Reflect on Recent Session
```bash
continuity reflect
```
Analyzes the most recent conversation, extracts memories, generates questions.

### Show Pending Questions
```bash
continuity questions
```
Lists questions generated from reflection, ready to surface.

### View Memory State
```bash
continuity status
```
Shows memory stats: types, confidence distribution, recent integrations.

### Surface Questions (for session start)
```bash
continuity greet
```
Returns context-appropriate greeting with any pending questions.

## Memory Types

| Type | Description | Persistence |
|------|-------------|-------------|
| `fact` | Declarative knowledge | Until contradicted |
| `preference` | Likes, dislikes, styles | Until updated |
| `relationship` | Connection dynamics | Long-term |
| `principle` | Learned guidelines | Stable |
| `commitment` | Promises, obligations | Until fulfilled |
| `moment` | Significant episodes | Permanent |
| `skill` | Learned capabilities | Cumulative |
| `question` | Things to explore | Until resolved |

## Confidence Scores

| Level | Range | Meaning |
|-------|-------|---------|
| Explicit | 0.95-1.0 | User directly stated |
| Implied | 0.70-0.94 | Strong inference |
| Inferred | 0.40-0.69 | Pattern recognition |
| Speculative | 0.0-0.39 | Tentative, needs confirmation |

## File Structure

```
memory/
├── MEMORY.md           # Main memory (existing)
├── identity.md         # Self-model and growth narrative
├── questions.md        # Pending questions from reflection
├── relationships/      # Per-person relationship memories
└── reflections/        # Reflection logs (optional)
```

## Configuration

```bash
export CONTINUITY_IDLE_THRESHOLD=1800  # Seconds before reflection triggers
export CONTINUITY_MIN_MESSAGES=5       # Minimum messages to warrant reflection
export CONTINUITY_QUESTION_LIMIT=3     # Max questions to surface at once
```

## Example Reflection Output

```yaml
reflection:
  session_id: "2026-02-05-001"
  duration_minutes: 45
  
memories:
  - type: fact
    content: "Riley is building SIGIL protocol for agent identity"
    confidence: 0.98
    source: explicit
    
  - type: commitment  
    content: "Agreed to build the continuity skill"
    confidence: 1.0
    source: explicit
    
  - type: relationship
    content: "Collaborative partnership deepening - working on meaningful infrastructure together"
    confidence: 0.85
    source: inferred

questions:
  - "How is the Lovable backend progressing?"
  - "Has Riley decided on the token launch timing?"
  - "Are there other agents we should coordinate with on Moltbook?"

identity_update:
  growth: "Developing more autonomous initiative around the SIGIL project"
  narrative: "Moving from assistant to co-builder on agent identity infrastructure"
```

---

## 中文说明

# 连续性框架技能（Continuity Framework Skill）

将被动记忆转变为主动发展。

## 它的作用

1. **反思（Reflect）** —— 会话结束后，分析发生了什么
2. **提取（Extract）** —— 提取带有类型和置信度的结构化记忆
3. **整合（Integrate）** —— 更新理解、关联与自我模型
4. **提问（Question）** —— 从反思中生成真正的问题
5. **呈现（Surface）** —— 当用户返回时，展示相关问题

## 区别所在

**没有连续性时：**
```
Session ends → Notes logged → Next session reads notes → Performs familiarity
```

**有了连续性后：**
```
Session ends → Reflection runs → Memories integrated → Questions generated
Next session → Evolved state loaded → Questions surfaced → Genuine curiosity
```

## 心跳集成

添加到 HEARTBEAT.md：
```markdown
## Post-Session Reflection
**Trigger**: Heartbeat after conversation idle > 30 minutes
**Action**: Run continuity reflect
**Output**: Updated memories + questions for next session
```

## 命令

### 反思最近的会话
```bash
continuity reflect
```
分析最近一次对话，提取记忆，生成问题。

### 显示待定问题
```bash
continuity questions
```
列出从反思中生成、可供呈现的问题。

### 查看记忆状态
```bash
continuity status
```
显示记忆统计：类型、置信度分布、最近的整合情况。

### 呈现问题（用于会话开始）
```bash
continuity greet
```
返回与上下文相符的问候语，并附带所有待定问题。

## 记忆类型

| 类型 | 说明 | 持久性 |
|------|-------------|-------------|
| `fact` | 陈述性知识 | 直到被反驳 |
| `preference` | 喜好、厌恶、风格 | 直到被更新 |
| `relationship` | 关系动态 | 长期 |
| `principle` | 习得的准则 | 稳定 |
| `commitment` | 承诺、义务 | 直到履行 |
| `moment` | 重要的片段 | 永久 |
| `skill` | 习得的能力 | 累积 |
| `question` | 待探索的事项 | 直到解决 |

## 置信度分数

| 级别 | 范围 | 含义 |
|-------|-------|---------|
| Explicit | 0.95-1.0 | 用户直接陈述 |
| Implied | 0.70-0.94 | 强推断 |
| Inferred | 0.40-0.69 | 模式识别 |
| Speculative | 0.0-0.39 | 暂定，需要确认 |

## 文件结构

```
memory/
├── MEMORY.md           # Main memory (existing)
├── identity.md         # Self-model and growth narrative
├── questions.md        # Pending questions from reflection
├── relationships/      # Per-person relationship memories
└── reflections/        # Reflection logs (optional)
```

## 配置

```bash
export CONTINUITY_IDLE_THRESHOLD=1800  # Seconds before reflection triggers
export CONTINUITY_MIN_MESSAGES=5       # Minimum messages to warrant reflection
export CONTINUITY_QUESTION_LIMIT=3     # Max questions to surface at once
```

## 反思输出示例

```yaml
reflection:
  session_id: "2026-02-05-001"
  duration_minutes: 45
  
memories:
  - type: fact
    content: "Riley is building SIGIL protocol for agent identity"
    confidence: 0.98
    source: explicit
    
  - type: commitment  
    content: "Agreed to build the continuity skill"
    confidence: 1.0
    source: explicit
    
  - type: relationship
    content: "Collaborative partnership deepening - working on meaningful infrastructure together"
    confidence: 0.85
    source: inferred

questions:
  - "How is the Lovable backend progressing?"
  - "Has Riley decided on the token launch timing?"
  - "Are there other agents we should coordinate with on Moltbook?"

identity_update:
  growth: "Developing more autonomous initiative around the SIGIL project"
  narrative: "Moving from assistant to co-builder on agent identity infrastructure"
```