arXiv (All)
open access
AgentWare: Automating the Lifecycle of Agentic Applications across the Edge-to-Cloud Continuum
Deploying LLM-enabled agentic applications across the Edge-to-Cloud continuum remains challenging due to hardware heterogeneity, deployment complexity, limited observability, and the lack of systematic evaluation methods. Existing solutions address agent development, observability, or benchmarking s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AgentWare: Automating the Lifecycle of Agentic Applications across the Edge-to-Cloud Continuum#1108710
- LogicHunter: Testing LLM Agent Frameworks with an Agentic Oracle#346575
- UniACE: A Unified Framework for Evaluating LLM Agentic Capabilities#820473
- Rebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures Reveal#1048793
- Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum#1012479
Record · ID 1128849
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive