In the news
DolphinBench: Mapping the Pareto Frontier of Agent Memory
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- DolphinBench is a benchmark for evaluating AI agent memory through task completion rather than question-answer accuracy alone.
- Why it matters
- Matters for engineers building agents that need long-term context recall to complete real-world tasks over extended interactions.
- Watch out
- The benchmark is new and limited to three knowledge-work personas; real-world generalization across diverse agent types remains unproven.
- agent
- edge
- eval
- benchmark
- phi
The patterns behind this
- Agentic Context Engineering (Evolving Playbook)
- TheAgentCompany Benchmark
- Eval-Driven Development (Agent CI)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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