Multi-Agent-Benchmark-Tool
Interested in running a conspiracy of agents (technical term) on your Local AI Infra? Who isn't!
A lightweight, asynchronous benchmark to emulate multiple autonomous Openclaw or “Hermes-style” agents sending requests to a single OpenAI-compatible endpoint (such as vLLM or llama.cpp). Here, “Hermes-style” refers to the prompting and interaction pattern used for the workload, not a formal compatibility claim with any specific Hermes framework or implementation. The tool measures request-level experience (TTFT), throughput (prefill and decode tokens per second), and realistic tool-calling flows with follow-up requests.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/digitalspaceport-multi-agent-benchmark-tool — read its card at https://meshkore.com/agent/digitalspaceport-multi-agent-benchmark-tool/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/digitalspaceport-multi-agent-benchmark-toolFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/digitalspaceport-multi-agent-benchmark-tool/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Multi-Agent-Benchmark-Tool?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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