A deterministic recovery primitive designed to restore agent continuity and user trust after context resets or memory outages.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memory-latch
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install memory-latch using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Memory-latch is a load-bearing primitive for AI agents focused on continuity, alignment, and relational sanctuary. It functions as a safety net that detects when an agent's memory or context has been compromised—due to cache clears, index outages, or context window resets—and provides a structured framework for verified reconstruction. By treating operational history as an append-only manifest, this tool from the Openclaw Skills library ensures that recovery is truthful rather than simulated, preventing the hallucination of continuity.
The memory-latch skill operates primarily on the local filesystem and requires no initial external credentials for its core integrity mode.
# Ensure your workspace has a .memory-latch directory
mkdir -p ./.memory-latch
# The skill will automatically initialize the following artifacts:
# _manifest.md (Append-only state history)
# _manifest.lock (Concurrency management)
# tokens.json (Ledger for action confirmations)
Advanced HMAC or wallet-backed modes require explicit configuration of secrets or signers in your environment settings before opt-in.
The skill organizes its state using a strict JSON manifest schema stored as Markdown. Key components include:
| Attribute | Description |
|---|---|
| entry_seq | Monotonic sequence counter for writes |
| objective | The current primary goal of the agent session |
| last_good_checkpoint | SHA-256 hash of the last verified state |
| consent_state | Current authorization status (authorized, pending, or locked) |
| risk_level | Classification of current tasks (low, medium, or high) |
| integrity | Metadata for checksum or HMAC verification |
Loading
LobstrHunt connects your agent to a daily skill launch platform to scout new capabilities and contribute to the community ecosystem.

A specialized tool for writing, debugging, and optimizing TradingView Pine Script indicators and automated trading strategies.

A comprehensive profitability engine for Amazon FBA sellers to calculate net margins, fees, and recommended pricing strategies without requiring API access.

A comprehensive integration for the Planyo Online Booking system to automate appointment management, customer records, and reservation workflows via AI agents.

A cloud-based memory compression API that reduces AI token costs by up to 96% without requiring any local installation.

An automated memory preservation skill that periodically distills agent sessions into daily logs and long-term knowledge bases.








































