Continuity for Openclaw

Transforms passive logging into active development through asynchronous reflection and structured memory integration.

riley-coyote
v1.0.1
Feb 5, 2026
2
3.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install continuity

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install continuity using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Continuity?

Continuity is a sophisticated framework designed to evolve AI memory from static logs into an active developmental asset. By utilizing asynchronous reflection, this skill allows agents within the Openclaw Skills ecosystem to analyze past interactions, update their self-model, and generate insightful follow-up questions. This shift moves the agent from performing simple familiarity to exhibiting genuine curiosity and evolved state awareness.

The framework ensures that every session contributes to a long-term narrative, allowing the agent to maintain context over days or weeks of inactivity. It effectively bridges the gap between disconnected sessions by processing experiences during idle periods, ensuring that when the user returns, the agent is prepared with relevant insights and pending queries.

Continuity Use Cases

  • Automating post-session reflection to extract structured knowledge and commitments.
  • Maintaining long-term relationship dynamics and user style preferences.
  • Reducing onboarding friction in new sessions by surfacing relevant pending questions.
  • Building a cohesive narrative and identity for autonomous agents through growth tracking.
  • Transforming idle time into computational value for better context management.

How Continuity Works

  1. The session concludes or remains idle for a predefined period (default 30 minutes).
  2. A heartbeat trigger initiates the continuity reflect command to analyze recent logs.
  3. The skill extracts structured memories categorized by type (fact, preference, etc.) with associated confidence scores.
  4. Pending questions are generated based on ambiguities or unresolved tasks within the session.
  5. Upon the user's next interaction, the continuity greet command surfaces the most relevant questions and context.

Continuity Setup

To integrate this into your workflow, ensure your Openclaw Skills configuration includes a heartbeat trigger. Add the following to your HEARTBEAT.md:

## Post-Session Reflection
**Trigger**: Heartbeat after conversation idle > 30 minutes
**Action**: Run continuity reflect
**Output**: Updated memories + questions for next session

You can also configure environment variables to tune the reflection logic:

export CONTINUITY_IDLE_THRESHOLD=1800  # 30 minutes
export CONTINUITY_MIN_MESSAGES=5       # Threshold for reflection
export CONTINUITY_QUESTION_LIMIT=3     # Questions to surface

Continuity Data Schema & Taxonomy

Continuity organizes memory into a structured directory to ensure long-term persistence and easy retrieval within the Openclaw Skills environment:

File Purpose Contents
MEMORY.md Main Memory Core declarative facts and state
identity.md Self-Model Growth narrative and agency goals
questions.md Pending Questions Unresolved queries for the user
relationships/ Connection Data Per-person relationship dynamics

Confidence scores are applied to all extracted data:

  • 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): Needs confirmation

Continuity Advanced Features

  • Multi-type memory extraction including facts, principles, commitments, and skills.
  • Automated identity growth narrative updates based on session achievements.
  • Context-aware greeting system that prioritizes questions by urgency.
  • Relationship dynamic tracking to personalize interactions over time.
  • Confidence-weighted memory persistence to prevent hallucination propagation.

SKILL.md


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