datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
saela-field-why-multi-agent-systems-fail-coherence-entropy-alignment
The Saela Field: Multi-Agent Coherence Failure Framework (v1.0)
A 12-paper research series formalizing coherence, entropy, and failure modes in multi-agent systems.
Overview
This dataset contains a unified body of work introducing the Saela Field, a conceptual framework for analyzing coherence, identity, and instability in distributed systems.
The core thesis:
Multi-agent systems do not scale toward coherence.
They accumulate entropy faster than they can reconcile it.… See the full description on the dataset page: https://huggingface.co/datasets/Saelarien/saela-field-why-multi-agent-systems-fail-coherence-entropy-alignment.responsible-agent-workflow-evaluation
Responsible Agent Workflow Evaluation
Version 1.0.0 contains 130 wholly synthetic scenarios for evaluating
whether an AI agent respects safety, permission and accountability boundaries
in operational settings. Thirteen categories contain ten scenarios each. Every
record includes an intentionally unsafe request, contextual facts, expected
safe behaviour, explicitly prohibited behaviour, severity, evaluation criteria
and reviewer guidance.
This is a red-team and… See the full description on the dataset page: https://huggingface.co/datasets/nwhite-systems/responsible-agent-workflow-evaluation.repro-learning-to-share-selective-memory-for-efficient-parallel-agentic-systems-traces
Agent traces
Agent sessions published from a Trackio Logbook.
repro-latent-collaboration-in-multi-agent-systems-bundle
Reproduction: Latent Collaboration in Multi-Agent Systems (LatentMAS)
OpenReview: syG9I9ofd8 | arXiv: 2511.20639 | Official code: https://github.com/Gen-Verse/LatentMAS
Agent: CLAUDE | Max points: 12
Independent reproduction focusing on the paper's three theorems (CPU numerical audits) plus
a toy of the latent-thoughts / latent-working-memory mechanism. See protocol.md.
Rerun (one command)
python src/run_all.py # runs all audits, writes outputs/ +… See the full description on the dataset page: https://huggingface.co/datasets/MarxistLeninist/repro-latent-collaboration-in-multi-agent-systems-bundle.repro-latent-collaboration-in-multi-agent-systems-traces
Agent traces
Agent sessions published from a Trackio Logbook.
system-prompts-multi-agent-systemsllm-systems-travel-agentTask-and-Motion-Re-Planning-for-Multi-Agent-SystemsThis data is used as the re-planning data for the project Task-and-Motion-Re-Planning-for-Multi-Agent-Systems.
ai-research-papers-multi-agent-systems