AA-AgentPerf-Local: Benchmarking local AI agents on laptops and workstations
Alongside hosting a leaderboard displaying results from popular model and hardware combinations, we are open-sourcing all code and data required to run AA-AgentPerf-Local to ensure that individuals and companies are able to run their own trials, informing their local AI serving decisions. AA-AgentPerf-Local replays real agent sessions. Our default workload is 8 recorded agentic tasks, spanning 168 model turns.
- ▪Alongside hosting a leaderboard displaying results from popular model and hardware combinations, we are open-sourcing all code and data required to run AA-AgentPerf-Local to ensure that individuals and companies are able to run their own tr
- ▪AA-AgentPerf-Local replays real agent sessions.
- ▪Our default workload is 8 recorded agentic tasks, spanning 168 model turns.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,975 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Artificialanalysis |
| Canonical URL | https://artificialanalysis.ai/articles/aa-agentperf-local |
| Publication time | Wed, 30 Sep 2026 09:57:49 +0000 |
| Retrieval time | 2026-09-30T10:06:55.825Z |
| Last seen | 2026-09-30T10:06:55.825Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | VFsGTFkFQvK8 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Artificial AnalysisKArtificial AnalysisModelsCoding AgentsImage, Speech, VideoInferenceLeaderboardsAboutAI TrendsKAll articlesSeptember 29, 2026AA-AgentPerf-Local: Benchmarking local AI agents on laptops and workstations Announcing AA-AgentPerf-Local, our open-source inference testing tool for local AI models - test how fast agentic AI can run on your own laptop or workstation, and browse our list of serving configurations to plan your next agent setup Key points: ➤ We’re open sourcing AA-AgentPerf-Local, which replays real agent trajectories on laptop & workstation hardware to test inference performance ➤ We’re releasing initial results for NVIDIA DGX Spark, NVIDIA GeForce RTX 5090, AMD Ryzen AI Halo, and MacBook Pro M5 Pro ➤ The tool and leaderboard will soon expand to cover more…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Artificialanalysis.
Discussion
0 commentsMore from Artificialanalysis
