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aa-agentperf-local

Benchmark local LLM serving by replaying real agent trajectories

Details

External ID
1388431549
Source
GITHUB
Company
—
Product
aa-agentperf-local
Website domain
artificialanalysis.ai
Launched
Sept. 26, 2026
Cohort
—
Upvotes
48
Upvotes percentile
0.813412759415834
Tags
ai-agents, artificial-analysis, benchmark, inference, llm, local-llm
Fetched at
Sept. 30, 2026, 5:02 p.m.
Updated at
Sept. 30, 2026, 5:02 p.m.

Enrichment

Theme
developer tools for ai agents
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local llm benchmark for agent trajectories
Manually corrected
False

Could you build this?

Partial Building a CLI benchmark harness that replays complex multi-step agent trajectories against local LLM serving engines (vLLM, Ollama) requires precise state tracking and deterministic execution environments.

What it would actually take: The tool requires a Python or Go CLI that parses trajectory logs (e.g., SWE-bench or custom action logs), mocks or sandboxes environmental execution (Docker/microVMs), and measures TTFT, TPOT, and concurrency metrics across local inference runtimes like vLLM, llama.cpp, or SGLang. The hard part is managing realistic sandboxed environments to replay multi-step tool calls without side-effect leaks.

Competitors

Other products that read as similar to this one — 2029 launches clear the similarity bar, closest 8 shown.

Attention rank: #342 of 2030 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 332 days after the earliest competitor.

Other launches for this product

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