🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
Test AI search capabilities with complex, multi-step questions and evaluate their performance using a scoring system.
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Free · no card · unsubscribe anytime🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
VibeSearchBench has 915 stars on GitHub. It has been forked 62 times. VibeSearchBench is written mainly in Python. It has been in active development since 2026. VibeSearchBench is available under the MIT license. Its main topics are agentic-ai, benchmark, llm, proactive-agent.
🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
VibeSearchBench is an open-source project. It is released under the MIT license.
Yes. VibeSearchBench is free and open source — you can use, modify and self-host it.
VibeSearchBench is available under the MIT license.
VibeSearchBench is written mainly in Python.
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