# Industry: Microsoft - STATE-Bench

---
type: industry
company: Microsoft
team: Microsoft Open Source
title: "Introducing STATE-Bench: a benchmark for AI agent memory"
url: https://opensource.microsoft.com/blog/2026/05/19/introducing-state-bench-a-benchmark-for-ai-agent-memory/
source_name: Microsoft Open Source Blog
source_type: benchmark
source_quality: official
published_at: 2026-05-19
collected_at: 2026-07-08
status: analyzed
topics:
  - memory
  - agent-evaluation
  - enterprise-ai
implementation_signals:
  - stateful-environment
  - user-simulator
  - deterministic-assertions
  - bring-your-own-memory
product_area:
  - customer-support
  - travel
  - shopping
models:
  -
tools:
  - STATE-Bench
benchmarks:
  - STATE-Bench
related_papers:
  - 2026-memory-agent-survey
  - 2026-wang-evomembench
related_jobs:
  - 2026-07-08-baidu-aidu-agent-algorithm-engineer-beijing
related_experiments:
  -
related_projects:
  -
evidence_level: high
relevance: high
---

## One-line Takeaway

Memory 评估应衡量 Agent 是否因经验而更会执行流程，而不是只测试远距离事实召回。

## What They Built or Claimed

Microsoft 发布 STATE-Bench，一个开源、memory-agnostic benchmark，用现实企业任务评估 Agent 是否能通过经验改进。

## Technical Signals

- architecture: 多轮对话 loop + stateful environment + deterministic assertions。
- tool use: 任务涉及查询、校验策略、计算费用、确认并执行。
- memory: bring-your-own-memory 接口。
- evaluation: 450 个任务，覆盖 travel、customer support、shopping。
- safety: 状态改变任务会带来真实成本，强调流程合规。
- deployment: open-source benchmark。
- data: 预填充数据库和用户模拟器。

## Evidence Quality

官方开源博客，包含任务数、领域、评估 loop 和 GitHub 入口，证据强。

## Gaps for Us

- 可以基于 STATE-Bench 思路做一个小型企业流程 Agent eval。
