- name
- continuity
- description
- Asynchronous reflection and memory integration for genuine AI development. Use on heartbeat to reflect on recent sessions, extract structured memories with confidence scores, generate follow-up questions, and surface those questions when the user returns. Transforms passive logging into active development.
Continuity Framework Skill
Transform passive memory into active development.
What This Does
- Reflect — After sessions end, analyze what happened
- Extract — Pull structured memories with types and confidence
- Integrate — Update understanding, connections, self-model
- Question — Generate genuine questions from reflection
- Surface — When user returns, present relevant questions
The Difference
Without Continuity:
Session ends → Notes logged → Next session reads notes → Performs familiarityWith Continuity:
Session ends → Reflection runs → Memories integrated → Questions generated
Next session → Evolved state loaded → Questions surfaced → Genuine curiosityHeartbeat Integration
Add to HEARTBEAT.md:
## Post-Session Reflection
**Trigger**: Heartbeat after conversation idle > 30 minutes
**Action**: Run continuity reflect
**Output**: Updated memories + questions for next sessionCommands
Reflect on Recent Session
continuity reflectAnalyzes the most recent conversation, extracts memories, generates questions.
Show Pending Questions
continuity questionsLists questions generated from reflection, ready to surface.
View Memory State
continuity statusShows memory stats: types, confidence distribution, recent integrations.
Surface Questions (for session start)
continuity greetReturns 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
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 onceExample Reflection Output
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"