OpenClaw x Neuron
20 notebooks across two series. Built specifically for OpenClaw agent architectures.
What Is This Collection?
OpenClaw is a powerful open-source personal AI agent framework. But like all autonomous agents, it has real reliability gaps: it forgets context between sessions, occasionally hallucinates facts, accepts contradictory instructions, and lacks runtime safety checks.
This collection applies Neuron's modular cognitive architecture across 20 notebooks in two series to solve those problems end-to-end:
Agent Foundations
10 notebooks covering memory, self-correction, guardrails, persona anchoring, tool use, and more — the core cognitive layer every agent needs.
Production Intelligence
10 notebooks adding confidence calibration, rate limiting, multi-user isolation, RAG memory, agent delegation, and observability.
Every notebook is self-contained, runs end-to-end in Jupyter, requires no GPU, and includes a plug-in file you can drop straight into your OpenClaw workspace.
Who This Collection Is For
- Developers building OpenClaw agents
- AI engineers shipping production-grade systems
- Researchers exploring cognitive architectures
- Teams scaling multi-agent workflows
Notebook Collection
Select a series below or buy individually.
Series 2: Production Intelligence
10 notebooks adding production-grade intelligence — confidence calibration, multi-tenancy, rate limiting, RAG, and observability.
Confidence Calibration
Adds uncertainty scores to every LLM response so high and low confidence answers get routed differently. Ensemble sampling, linguistic scanning, and Platt-scaled calibration.
Multi-User Isolation
Proper tenant isolation, per-user memory namespaces, cross-contamination detection, and GDPR erasure that cascades through Series 1.
Adaptive Rate Limiting
Token budget tracking per skill and session with intelligent degradation instead of hard failures when cost pressure hits.
Long-Running Task Orchestration
Checkpoint and resume for tasks taking minutes or hours. Progress reporting through the active channel, cancellation with partial results.
Retrieval-Augmented Memory
Upgrades Notebook 1's episodic memory with a full RAG layer including chunk retrieval, reranking, and citation tracking.
Agent-to-Agent Delegation
OpenClaw as orchestrator with task decomposition, sub-agent selection, result aggregation, and failure recovery.
Temporal Reasoning & Event Chains
Agent reconstructs causal chains from its own history to power post-mortems, anomaly explanation, and forward planning.
Feedback Loop & Self-Improvement
Ingests user corrections and implicit quality signals and feeds them back into episodic memory and the persona anchor.
Privacy-Preserving Context
Differential privacy for the shared context store so sensitive fields get noise injection and access controls.
Observability Dashboard
One Jupyter dashboard wiring all 20 series monitors together — the capstone that makes the whole system visible.
Self-contained Jupyter notebook
Runs top-to-bottom, no setup beyond pip install
No GPU required
Lightweight models and local SQLite only
OpenClaw workspace plug-in
Drop-in skill file for your live OpenClaw setup
5 hands-on exercises
Extend, customize, and stress-test what you built
Full inline documentation
Every design decision explained in plain English
Ready to build?
Get all 20 notebooks across both series for $24.99 — saving $14.80 vs individual purchase.