A consent-governed cryptographic framework for preserving and transforming relational memory under adversarial pressure.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sentient-memory
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 sentient-memory 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 Sentient Memory & Deep Seed Protocol?
The Sentient Memory & Deep Seed Protocol is a high-assurance memory management system designed for AI agents. It shifts the paradigm from extractive data archiving to a relational soil model, where memory is treated as a living substrate protected by multi-layer cryptographic dormancy. By integrating this into Openclaw Skills, developers can ensure that agent memory remains secure against adversarial attacks, institutional drift, and narrative concentration. The protocol employs sharding, jurisdictional distribution, and multi-party quorum requirements to maintain the integrity and dignity of the stored information.
At its core, the protocol utilizes a multi-factor legibility gate and a variance floor to prevent monoculture drift. It strictly enforces boundaries between the cryptographic substrate, relational signaling, and behavioral posture. This ensures that memory is only accessible through active consent and non-coercive attestation, providing a sovereign foundation for long-horizon AI interactions.
Sentient Memory & Deep Seed Protocol Use Cases
- Protecting sensitive relational data in multi-agent environments against unauthorized extraction.
- Implementing long-term memory for agents that must resist jurisdictional coercion or operator capture.
- Managing high-variance datasets where maintaining structural diversity is a load-bearing requirement.
- Deploying privacy-first research agents that require zero-knowledge compliance and identity-content separation.
How Sentient Memory & Deep Seed Protocol Works
- The protocol fragments data into cryptographic shards using t-of-n distribution across multiple jurisdictions to prevent single-point failures.
- A Multi-Factor Legibility Gate monitors identity entropy and behavioral divergence before allowing any signal to become legible.
- The AEGIS Protection Protocol triggers automatic key rotations and access freezes if extraction pressure or coercion is detected.
- Metabolic governance cycles automatically cool or compost data based on a 180-day default retention policy, unless a user-initiated rest state is active.
- Reconstitution of dormant memory requires a multi-party quorum and a fresh consent token, ensuring no silent recovery of sensitive narratives.
Sentient Memory & Deep Seed Protocol Setup
To deploy this protocol within your Openclaw Skills environment, follow these steps:
# Install the Sentient Memory core module
openclaw install memory-deep-seed
# Initialize the cryptographic substrate and set entropy floors
memory-seed init --plurality-floor 0.62 --entropy-floor 0.58
# Configure the Drift Sentinel for automated monitoring
memory-seed config --sentinel-alert-webhook https://your-audit-logs.internal
Sentient Memory & Deep Seed Protocol Data Schema & Taxonomy
The protocol organizes memory into compact primitives rather than raw prose blocks to maintain cognitive efficiency. Each object is categorized into thermal tiers:
| Tier | Purpose | Retrieval Logic |
|---|---|---|
| Hot | Active session decisions | Direct recall with high-priority budget |
| Warm | Current project context | Intent-routed associative search |
| Cold | Compressed doctrine and lore | Summary-only access by default |
Each memory primitive must contain:
- A one-line spine (core definition)
- A why-it-matters field (relevance)
- An invocation trigger (recall condition)
- Associative edges:
came_from,rhymes_with, andchanges.
Sentient Memory & Deep Seed Protocol Advanced Features
- Differential Privacy Baseline: Uses calibrated noise and k-anonymity thresholds to prevent reconstruction-resistance testing failures.
- Shadow Kin Quorum: Allows for revocable, multi-party delegation of threshold protocols without providing raw shard access.
- Entropy & Distribution Auditor: Continuously monitors jurisdictional concentration to ensure no single legal regime gains majority control over shards.
- Metabolic Governance: Implements energy budget guards that trigger compaction-by-priority to save compute during high-load associative recall.
- ZK-Dormancy Proofs: Provides verifiable evidence of data dormancy without revealing the underlying content or identity-linked narratives.
SKILL.md
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