self-healing
daily-paper-2026-08-13-skill-state-drift-self-healing
Distributed Skill-State Consistency in Multi-Machine Agent Harnesses: Measuring Drift Detection and Self-Healing Latency
TL;DR — In a multi-machine LLM agent harness where capabilities are toggled via symlinks and machine-scoped registries, state can silently diverge from the declared policy. A periodic sweep halves mean drift-detection latency (9.41 vs 19.23 steps), reduces check events 5x, and bounds tail latency — at identical total cell-scan cost — simply by decoupling the… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-08-13-skill-state-drift-self-healing.humanoid-network-self-healing-dataset
Humanoid Network Self-Healing Dataset
Dataset designed for network resilience and automatic recovery
in humanoid distributed systems.
Description
Tracks fault detection events, node failures, and automatic
recovery mechanisms across the humanoid network.
File
network_self_healing_dataset.json
License
MIT
self-healing-llmself-healing-router
license: MIT
Self-Healing Router
Reference implementation for "Graph-Based Self-Healing Tool Routing for Cost-Efficient LLM Agents"
Paper: https://arxiv.org/abs/2603.01548
Code: https://github.com/NeerajBholani/self-healing-router
han-autonomous-network-self-healing-dataset-v1
Humanoid Autonomous Network Self-Healing Dataset
This dataset models failure detection and recovery
mechanisms inside a decentralized humanoid cognitive mesh.
It captures anomaly signals, fault propagation,
recovery strategies, and post-recovery performance metrics.
Objective
To train autonomous recovery systems
that stabilize the Humanoid Network
without centralized intervention.
Failure Types
Node crash
Memory desynchronization
Task deadlock
Consensus… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-autonomous-network-self-healing-dataset-v1.self-healing-schema-extraction