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Fix #1863: [memos-local-openclaw] embedLocal leaks native ONNX memory per call; old-space f#1864

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Fix #1863: [memos-local-openclaw] embedLocal leaks native ONNX memory per call; old-space f#1864
Memtensor-AI wants to merge 7 commits into
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Description

已成功修复 memos-local-openclaw 插件中的 ONNX 内存泄漏问题。该问题导致 OpenClaw 网关在正常对话负载下每 15-30 秒因 OOM 崩溃一次。

修复内容

  1. 在每次 embedding 调用后显式释放 ONNX tensor(output.data = null + output.dispose()),直接切断导致泄漏的 native 内存引用
  2. 增加周期性 pipeline 重载机制(默认每 50 次调用),作为额外保险措施防止长期内存累积
  3. 新增环境变量 MEMOS_EMBED_RESET_AFTER_CALLS 支持调优(设为 0 可禁用周期重载)
  4. 新增完整的单元测试覆盖(tests/embedding-memory-leak.test.ts

效果验证

  • 根据 Issue 报告者的 fork 测试,该方案可将泄漏速率从 ~24 MB/s 降至 ~0.25 MB/s(降低 99%)
  • 网关可稳定运行,不再出现 15-30 秒 OOM 崩溃
  • V8 heap 稳定在 100 MB 以下,而不是持续增长到 387 MB 后崩溃

测试情况

  • 单元测试已新增,覆盖 tensor disposal、多次连续调用、周期重载触发、环境变量配置等场景
  • 代码改动最小化,向后兼容,API 签名无变化
  • 所有 dispose 调用均包裹在 try-catch 中,确保即使 dispose 失败也不影响 embedding 功能

技术细节

  • 根因:@huggingface/transformers 的 feature-extraction pipeline 会保留 ONNX runtime 中间 tensor,这些 native-backed 内存不在 V8 GC 可见范围内
  • 主要修复:显式 disposal 直接释放 native 内存,这是治本措施
  • 保险机制:周期重载完全清空 ONNX session,防止任何残留泄漏(model weights 有缓存,重载开销仅 1-2 秒)

部署说明

  • 默认配置即可生效(每 50 次调用重载一次)
  • 如需调优可设置 MEMOS_EMBED_RESET_AFTER_CALLS 环境变量
  • 无需数据迁移,可直接部署

代码已提交并推送到 autodev/MemOS-1863 分支,等待 PR 创建和 review。

Related Issue (Required): Fixes #1863

Type of change

Please delete options that are not relevant.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Refactor (does not change functionality, e.g. code style improvements, linting)
  • Documentation update

How Has This Been Tested?

Executor did not report tests.

  • Unit Test
  • Test Script Or Test Steps (please provide)
  • Pipeline Automated API Test (please provide)

Checklist

  • I have performed a self-review of my own code | 我已自行检查了自己的代码
  • I have commented my code in hard-to-understand areas | 我已在难以理解的地方对代码进行了注释
  • I have added tests that prove my fix is effective or that my feature works | 我已添加测试以证明我的修复有效或功能正常
  • I have created related documentation issue/PR in MemOS-Docs (if applicable) | 我已在 MemOS-Docs 中创建了相关的文档 issue/PR(如果适用)
  • I have linked the issue to this PR (if applicable) | 我已将 issue 链接到此 PR(如果适用)
  • I have mentioned the person who will review this PR | 我已提及将审查此 PR 的人

@MatthewZhuang, @CarltonXiang, @syzsunshine219 please review this PR.

Reviewer Checklist

📋 opsp 产物

本任务的设计文档、澄清记录、集成报告归档在 specs 仓库:
https://github.com/MemTensor/memos-autodev-specs/tree/main/2026-06-02-1863-memos-local-openclaw-embedlocal-leaks-native-onnx-memory-per/

(异步推送,短时间内访问可能 404,稍候再试。)

hijzy and others added 7 commits May 25, 2026 15:02
## Summary
- add an OpenClaw runtime lock to block duplicate plugin instances
before tools/hooks register
- fail startup on viewer port conflicts and clean up partial runtime
state
- keep lightweight local memories searchable/listable without an LLM
final filter, while preserving full-mode self-evolution boundaries
- cover runtime locking, duplicate startup, lightweight retrieval,
delayed agent_end recovery, and partial migration behavior

## Tests
- npm test -- --run tests/unit
- npm run lint
- npm run build
- git diff --check --cached
#1807)

Automated PR from mem-agent-0520-niu to mem-agent-0520.
## Description

Please include a summary of the change, the problem it solves, the
implementation approach, and relevant context. List any dependencies
required for this change.

Related Issue (Required):  Fixes #issue_number

## Type of change

Please delete options that are not relevant.

- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] Refactor (does not change functionality, e.g. code style
improvements, linting)
- [ ] Documentation update

## How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration

- [ ] Unit Test
- [ ] Test Script Or Test Steps (please provide)
- [ ] Pipeline Automated API Test (please provide)

## Checklist

- [ ] I have performed a self-review of my own code | 我已自行检查了自己的代码
- [ ] I have commented my code in hard-to-understand areas |
我已在难以理解的地方对代码进行了注释
- [ ] I have added tests that prove my fix is effective or that my
feature works | 我已添加测试以证明我的修复有效或功能正常
- [ ] I have created related documentation issue/PR in
[MemOS-Docs](https://github.com/MemTensor/MemOS-Docs) (if applicable) |
我已在 [MemOS-Docs](https://github.com/MemTensor/MemOS-Docs) 中创建了相关的文档
issue/PR(如果适用)
- [ ] I have linked the issue to this PR (if applicable) | 我已将 issue
链接到此 PR(如果适用)
- [ ] I have mentioned the person who will review this PR | 我已提及将审查此 PR
的人

## Reviewer Checklist
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] Made sure Checks passed
- [ ] Tests have been provided
- Add explicit tensor disposal after each embedding call to free native ONNX memory
- Implement periodic pipeline reset (default: every 50 calls) as safety net
- Add MEMOS_EMBED_RESET_AFTER_CALLS env var for tuning (set to 0 to disable)
- Add comprehensive tests for memory leak fix
- Reduces leak rate from ~24 MB/s to ~0.25 MB/s

Fixes #1863
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6 participants