A curated bundle of five essential tools designed to provide AI agents with local reflection, memory, and proactive self-healing capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install certainlogic-self-improving-stack
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 certainlogic-self-improving-stack 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 CertainLogic Self-Improving Stack?
The CertainLogic Self-Improving Stack is a comprehensive suite of Openclaw Skills designed to transform static AI agents into dynamic, learning entities. By integrating a foundation of deterministic knowledge through the Company Brain Core OS, this stack enables agents to maintain an infinite memory, reflect on past mistakes, and anticipate user needs through proactive protocols.
Built with a local-first philosophy, this stack ensures that your agent performance scales without relying on expensive cloud dependencies or external API keys. It serves as a verified bridge between raw LLM capabilities and production-ready intelligence, focusing on factual accuracy and high-speed data retrieval.
CertainLogic Self-Improving Stack Use Cases
- Building AI assistants that require persistent long-term memory across multiple sessions.
- Developing self-healing autonomous agents that use the WAL protocol for proactive anticipation.
- Creating educational or support bots that adapt their teaching style based on user interaction history.
- Implementing a deterministic knowledge base to eliminate hallucinations in technical environments.
How CertainLogic Self-Improving Stack Works
- Foundation Establishment: Install Company Brain Core OS to create a local, deterministic knowledge base that serves as the single source of truth.
- Memory Integration: Deploy the memory skill to store user-specific data alongside the core fact-based knowledge graph.
- Reflection Loop: Activate the self-improving skill to catch patterns from user corrections and store them in local markdown files.
- Proactive Anticipation: Use the proactive skill to analyze historical patterns and anticipate next steps using the WAL protocol.
- Skill Extraction: The hermes-learning-loop identifies successful interactions and converts them into reusable modular skills for the agent.
CertainLogic Self-Improving Stack Setup
First, establish the foundation by installing the Core OS. Then, deploy the full self-improving suite using Openclaw Skills commands:
# Step 1: Install the Foundation
clawhub install company-brain-os
# Step 2: Install the full Self-Improving Stack
clawhub install self-improving proactive learning memory hermes-learning-loop
CertainLogic Self-Improving Stack Data Schema & Taxonomy
The stack utilizes a decentralized but unified storage approach, primarily leveraging local Markdown files for transparency and ease of audit.
| Component | Data Storage Method | Primary Function |
|---|---|---|
| Company Brain | Local Knowledge Graph | Deterministic facts and cache |
| self-improving | ~/self-improving/ |
Pattern corrections and reflection logs |
| proactive | WAL Protocol Logs | Anticipation patterns and self-healing data |
| memory | Local Markdown Files | User-specific context and interaction history |
| hermes-loop | Skill Manifests | Extracted reusable agent capabilities |
CertainLogic Self-Improving Stack Advanced Features
- Deterministic Fact Verification: Prevents hallucinations by prioritizing the local knowledge graph over LLM training data.
- 122x Query Acceleration: Instant caching of repeat queries for high-performance agent responses.
- Unified Memory Layer: Seamless integration between general facts (Company Brain) and personalized user data (Memory skill).
- WAL Protocol Support: High-maturity proactive anticipation for self-healing agent workflows.
- Local-First Security: Operates entirely without external API secrets or cloud dependencies, ensuring complete data privacy.
SKILL.md
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