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agent/papers/items/2026-2606-03895-agent-libos-a-runtime-substrate-for-capability-controlled-self-evolving-llm-agen.md
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# Paper: Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents
---
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