Comparing Memory Methods (bm25, Embedding, Ama-agent) On Open-ended QA

AMA-Bench is an ICML 2026 evaluation framework for agentic memory: methods build memory from long agent trajectories, retrieve evidence, and answer QA scored by LLM-as-judge. Includes vLLM/API pipelines, cross-judge validation, and a HF leaderboard.

AI Agents | Python · agent-memory · long-horizon