Extended Abstracts
Present visionary ideas, AgenticOS abstractions, or position papers to spark discussion; up to 2 pages of technical content.
Machine Learning/CORE Unranked
NeurIPS 2026
NeurIPS 2026 AgenticOS Workshop
The AgenticOS workshop at NeurIPS 2026 brings together machine learning and systems researchers to co-design the foundational abstractions of an operating system layer for agentic AI. It aims to unify fragmented efforts by defining shared concepts for memory, scheduling, governance, and execution that enable reliable, scalable, and evolvable agentic systems.
Key deadlines
Verified September 9, 2026Full paper
August 30, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
August 30, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Regular Papers
Present original research, systems experience, empirical analyses, or deployment studies; up to 6 pages of technical content.
Research areas in scope
01
Agentic OS Foundations & Abstractions
Minimal, portable abstractions and theoretical principles for building and composing an agentic OSArchitectures, training, adaptation, and alignment of foundation models as first-class system components
02
Memory, State & Storage
Agentic memory: representations, retrieval and update policies, consistency, and cross-layer optimizationStorage systems and file systems for agent state, context, and long-lived artifacts
03
Resource Management & Execution
Cross-layer optimization for agentic workloads (compute, memory, network, cost, latency)Scheduling and resource management for agentic workloads, including cluster/GPU autoscaling under multi-agent contentionModel routing, multi-model composition, and context management under uncertainty
04
Long-Horizon & Self-Evolving Agents
Long-horizon execution: planning, persistence, checkpointing, and recoveryContinual adaptation and constrained self-evolutionSystem support for autonomous adaptation while preserving reproducibility, safety, and governance
05
Trust, Safety & Governance
Trust, safety, and security for agentic systems: isolation, access control, and threat models specific to autonomous, tool-using agentsObservability, provenance, and auditability of autonomous agent behavior
06
Evaluation & Deployment
Evaluation methodologies, benchmarks, simulators, and testbedsDomain-specific agentic system deployment challenges and solutions
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Authors must remove names, affiliations, acknowledgments, and other identifying information.
- Papers must be original and unpublished.
- Works under review or planned for submission to other venues may be submitted, provided they do not violate those venues' policies.
- References and appendices are not subject to page limits, but the main paper must be self-contained.
- Reviewers must not use large language models (LLMs) to generate reviews in whole or in part.
- Uploading submissions or confidential material to LLM services is prohibited.
- The workshop follows official NeurIPS reviewing policies and code of conduct.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026