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---
title: Agent Memory Leaderboard
emoji: 🧠
colorFrom: blue
colorTo: green
sdk: static
pinned: false
short_description: A unified evaluation platform for memory systems.
---
# 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](https://agentmemories.ai/). 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.
## Links
- 🌐 [Official Website](https://agentmemories.ai/)
- 🚀 [Evaluation Portal](https://agentmemories.ai/evaluation)
- 🏆 [Public Leaderboard](https://agentmemories.ai/leaderboard/textual)
- 📖 [Evaluation Documentation](https://agentmemories.ai/docs)
- 💻 [GitHub Repository](https://github.com/tjuniko/agent-memory-leaderboard)
- 𝕏 [Follow Agent Memory Leaderboard](https://x.com/AgentMemoryL)
## On Hugging Face
This organization will publish:
- Versioned leaderboard result datasets
- Public leaderboard Spaces
- Benchmark and methodology documentation
- Baselines and reproducibility materials
- Release announcements and technical analyses
Follow this organization for the inaugural leaderboard release and future evaluation cycles.