Agent Memory Leaderboard

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Agent memory, long-term memory, memory-augmented agents, retrieval and RAG, evaluation and benchmarking, continual learning, long-context systems, multimodal memory, and LLM agents.

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Agent Memory Leaderboard · 记忆之巅

A unified evaluation platform for long-term memory systems and memory-enabled agents.

Agent Memory Leaderboard (a.k.a. 记忆之巅) evaluates how effectively memory systems store, retrieve, and use information across long conversations, persistent user contexts, and memory-intensive agent tasks.

Official evaluation and submission are conducted exclusively through the Agent Memory Leaderboard website. This Hugging Face organization hosts public leaderboard releases, evaluation documentation, and community updates.

What We Evaluate

Long-term memory storage and retrieval
Long-context and multi-session understanding
Personalized and user-specific memory
Temporal and event-ordering reasoning

Evaluation Tracks

Track	Intended for
Academic Methods	Reproducible research systems, open-source methods, and academic implementations
Industry Systems	Production APIs, hosted services, commercial systems, and closed-source products

All systems are evaluated under a versioned evaluation contract with fixed datasets, prompts, answer models, judge configurations, and pipeline hashes.

First Public Release

The inaugural public leaderboard is scheduled for mid-August 2026.

Results published on Hugging Face are official release snapshots. The live and authoritative leaderboard remains on the Agent Memory Leaderboard website.