Mem0 Releases DolphinBench Memory Benchmark
Benchmark announcement: https://t.co/33mlCQKoH4 Website: https://t.co/kHE7H7docE Leaderboard: https...
A dedicated memory benchmark from Mem0 gives teams a standard way to compare long-term memory layers across agents and chat systems instead of relying on vendor self-reports. Builders choosing a memory backend can check the leaderboard and submit their own configurations via the hosted run page. The open dataset and code make results reproducible for anyone evaluating agent stacks.
Mem0 announced DolphinBench, a new benchmark, with the announcement posted on its blog and the site at dolphinbench.ai. The benchmark includes a public leaderboard at dolphinbench.ai/leaderboard and a downloadable dataset at dolphinbench.ai/dataset. Researchers can run and submit evaluations via dolphinbench.ai/run, with code on the mem0ai GitHub repository. An accompanying paper is available on arXiv under ID 2609.24971.
Benchmark announcement: https://t.co/33mlCQKoH4 Website: https://t.co/kHE7H7docE Leaderboard: https...
Benchmark announcement: mem0.ai/blog/introduci… Website: dolphinbench.ai Leaderboard: dolphinbench.ai/leaderboard/ Dataset: dolphinbench.ai/dataset/ Run and submit: dolphinbench.ai/run/ Repo: github.com/mem0ai/dolphin… Paper: arxiv.org/abs/2609.24971 💬 0 🔄 0 ❤️ 2 👀 60 📊 1 ⚡
