A specialized framework for solving context loss and state synchronization issues across isolated AI agent sessions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install context-persistence
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install context-persistence 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 Context Persistence?
Context Persistence is a critical technical framework designed to bridge the gap between isolated AI sessions. In many AI environments, state created in one session—such as a cron job, subagent task, or heartbeat—is invisible to others. This skill provides the architectural blueprint to ensure that long-running tasks and complex workflows maintain continuity by treating the filesystem as the primary source of truth.
By leveraging this specific implementation within Openclaw Skills, developers can prevent the common issue where an agent forgets progress or lacks necessary background information. It establishes a robust hierarchy for memory, moving beyond transient in-memory state to a structured, file-based persistence model that survives session boundaries.
Context Persistence Use Cases
- Synchronizing state between cron jobs, subagents, and the main session.
- Tracking progress for long-running tasks like large-scale data analysis or code audits.
- Managing shared state between multiple concurrent AI agent sessions.
- Resolving user reports where the agent seems to lose history or context.
- Implementing long-term memory systems that evolve over days or weeks.
How Context Persistence Works
- The system identifies session types (Main DM, Cron, Subagent) and their specific context limitations.
- It implements a Three-Layer Memory System ranging from long-term curated facts to real-time daily logs.
- State is explicitly persisted to Markdown files, which serve as the only reliable communication channel between sessions.
- During session initialization, the agent follows a strict startup sequence to load relevant memory files (SOUL.md, USER.md, and daily logs).
- Task-specific progress files are updated at checkpoints to ensure any follow-up session can resume from the exact point of interruption.
Context Persistence Setup
To implement context persistence within your environment, ensure your workspace follows the recommended directory structure. You can initialize the memory directory using the following commands:
# Create the standard memory directory
mkdir -p memory/
# Initialize the core memory files
touch MEMORY.md
touch memory/$(date +%Y-%m-%d).md
Configure your AGENTS.md to ensure the startup sequence explicitly reads these files during initialization to provide the Openclaw Skills agent with immediate historical context.
Context Persistence Data Schema & Taxonomy
The skill organizes data into a hierarchical taxonomy to balance context window limits with information density:
| File Type | Purpose | Reader/Writer Access |
|---|---|---|
MEMORY.md |
Long-term curated facts and decisions (< 200 lines) | Main session only |
memory/YYYY-MM-DD.md |
Chronological logs and real-time events | All sessions (write), Main (read) |
memory/<task>-progress.md |
Structured progress for active tasks (< 300 lines) | Any session handling the task |
SOUL.md / USER.md |
Persona and user-specific preferences | All sessions (read-only) |
Context Persistence Advanced Features
- Multi-agent coordination via shared state files for complex task handoffs.
- Automated daily log rotation and periodic review during heartbeat sessions.
- Context injection for isolated cron payloads to maintain sub-1KB state efficiency.
- Progress tracking templates that include de-duplication and next-step logic for high-reliability workflows.
SKILL.md
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