agent/papers/items/2026-2606-03895-agent-libos-a-runtime-substrate-for-capability-controlled-self-evolving-llm-agen.md

Paper: Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents

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type: paper title: "Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents" authors: Yingqi Zhang year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.03895 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-02 updated_at: 2026-06-29 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• memory
• planning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.OS
• cs.AI
• cs.CR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: planning-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: planning-agent
• inferred topics: agent-evaluation, agent-safety, memory, planning, tool-use
• arXiv categories: cs.OS, cs.AI, cs.CR
• collection score: 18

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.03895