XPerf: New Free Tool Reveals Why AI Agents Run Slow
If your AI assistant ever feels sluggish, this new tool shows exactly why.
You've probably used an AI assistant that takes a while to answer, or sometimes seems to stall. That can happen because the technology behind the scenes—the "serving systems" running the AI—wasn't built for the newest kind of AI: agentic AI. Agentic AI is AI that doesn't just chat; it performs multi-step tasks like researching a topic or writing code on its own. These tasks are unpredictable, which can overwhelm the systems.
To help fix this, researchers created XPerf, a free tool that stress-tests AI serving systems with realistic agentic workloads. The challenge: agentic AI is random by nature—it might take different steps each run, making it hard to compare performance. XPerf solves this by recording real usage traces and replaying them identically, so companies can see exactly where the system chokes. It includes eight ready-made agentic tasks, from coding to deep research.
The payoff for you: faster, more reliable AI products. When developers know which part of their system slows down, they can fix it. XPerf also scales to large systems and helps debug failures. Since it's open-source, any company or researcher can use it to improve AI performance—so your next AI assistant might just feel noticeably quicker.
- XPerf is a free, open-source tool that tests how well AI systems handle agentic AI—AI that performs multi-step tasks on its own.
- It replays recorded real-world interactions to reliably compare performance and pinpoint slowdowns.
- The tool includes eight built-in test scenarios, like coding and research, and can scale to large AI systems.
Why It Matters
Faster, more reliable AI tools for everyone—without waiting for companies to guess what's wrong.