feat: LLM/plugin retrieval bug, prevent redundant memories via archiv…

…al with activated-only retrieval, and update implicit preference logic (MemTensor#893)

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Summary: Fix LLM/plugin retrieval bug, switch logger.error to
logger.info in extractor, prevent redundant memories via archival with
activated-only retrieval, and update implicit preference logic.

Fix: #(issue)

Docs Issue/PR: (docs-issue-or-pr-link)

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## Checklist:

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chore: bump version to v2.0.1 (MemTensor#849)

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chore: bump version to v2.0.0 (MemTensor#716)

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chore: bump version to v1.1.3 (MemTensor#471)

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Summary:

• Memory & Retrieval Core: async add (plain & preference), Preference
Memory pipeline, Reranker strategy suite, BM25 for TreeTextMemory,
MemReader structural parsing.
• Scheduler & Observability: API scheduler modularization
(schema/utils/analyzer), Redis ORM for history sync & mixture search,
metrics + request logs, Nacos-based dynamic config.
• Data & Infra: PolarDB graph backend with pool/timeout & fixes, unified
graph factory (Nebula/Neo4j/PolarDB), Milvus interface & item
optimizations, enhanced logging.
• Evaluation: PrefEval standardization; LoCoMo/LongMemEval/PersonaMem
pipeline upgrades; new utilities (e.g., mirix_utils.py).
• Stability & Fixes: query scheduling, message schema, Tree search
inputs, self-input prompts, SQLite list users, PolarDB value mapping;
pool/timeout tuning, usage data removal, graph-call toggle.
• Compatibility: adopt new async path/schemas/metrics; align preference
fields; migrate tests to Redis ORM; configure PolarDB pool/timeout
before rollout.

• 记忆与检索内核：新增 async add（明文/偏好）、偏好记忆全链路、Reranker 策略集、TreeTextMemory 引入
BM25、MemReader 结构化解析。
• 调度与可观测性：API 调度模块化（schema/utils/analyzer）、Redis ORM（历史同步与混合搜索）、metrics
指标与请求日志、Nacos 动态配置。
• 数据与基础设施：PolarDB 图后端（连接池/超时与修复）、图工厂统一（Nebula/Neo4j/PolarDB）、Milvus
接口与数据项优化、日志链路增强。
• 评估体系：PrefEval 字段标准化；LoCoMo/LongMemEval/PersonaMem 评测升级；新增工具（如
mirix_utils.py）。
• 稳定性与修复：修复查询调度、消息 schema、树检索输入、自输入提示、SQLite 用户列表、PolarDB
值映射；连接池/超时优化、移除 usage 数据、图调用开关。
• 兼容性：适配异步路径/新 schema/metrics；偏好字段按新规范；测试迁移至 Redis ORM；启用 PolarDB
前配置连接池与超时并压测。
Fix: MemTensor#424
MemTensor#426
MemTensor#423
MemTensor#443
MemTensor#384
MemTensor#406
MemTensor#445

• Scheduler/Query: fixed query-schedule edge cases
(MemTensor#424).
• Schemas: corrected message schema inconsistencies
(MemTensor#426).
• Search I/O: fixed TreeTextMemory searcher input mismatch
(MemTensor#423).
• Prompts: fixed self-input prompt error
(MemTensor#443).
• Storage: fixed SQLite list-users error
(MemTensor#384).
• Graph/DB: corrected PolarDB value/graph issues
(MemTensor#406,
MemTensor#445).

• 调度/查询：修复查询调度边界问题（https://github.com/MemTensor/MemOS/pull/424）。
• Schema：修正消息 schema 不一致（https://github.com/MemTensor/MemOS/pull/426）。
• 检索 I/O：修复 Tree 搜索器输入不匹配（https://github.com/MemTensor/MemOS/pull/423）。
• 提示：修复自输入提示错误（https://github.com/MemTensor/MemOS/pull/443）。
• 存储：修复 SQLite 用户列表错误（https://github.com/MemTensor/MemOS/pull/384）。
• 图/数据库：修正 PolarDB
值与图相关问题（https://github.com/MemTensor/MemOS/pull/406、https://github.com/MemTensor/MemOS/pull/445）。

Docs Issue/PR: (docs-issue-or-pr-link)

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chore: bump version to v1.1.2

 chore: bump version to v1.1.1 (MemTensor#346)

chore: bump version to v1.1.0 (MemTensor#340)

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Summary: 
Added OpenTelemetry support (MemTensor#298, MemTensor#307).
Introduced OpenTelemetry to enhance observability and monitoring for the
system, helping to trace requests and measure system performance.

Chatbot API and reranker filter, fixed Pydantic bug (MemTensor#294, MemTensor#303).
Added a new chatbot API and incorporated a reranker filter to improve
the response quality. Also, fixed issues related to Pydantic validation
errors.

Updated Nebula to version 5.1.1 (MemTensor#311).
Updated to the latest version of Nebula (5.1.1), addressing any known
bugs and ensuring better performance with the new features.

Parallelized recall and searcher processes (MemTensor#337).
Improved the performance of recall and search operations by
parallelizing them, allowing for faster query handling.

Added API client feature (MemTensor#334).
Introduced a new API client to facilitate easier interactions with the
system's API, likely for external integrations.


Fix: 
Fixed bugs in retriever, and added new auth info for Neo4j DB (MemTensor#313).
Addressed bugs in the retriever and improved authentication handling for
the Neo4j database, ensuring more reliable connections and data
retrieval.

Docs Issue/PR: (docs-issue-or-pr-link)

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chore: bump version to v1.0.1 (MemTensor#275)

## This PR introduces multiple major updates across MemOS, focusing on
evaluation, request context/logging, graph DB backends,
retrieval/quoting, API capabilities, and prompts/templates.

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Summary:

- **Evaluation**: Added LoCoMo RAG & LongMemEval scripts with
reproducible run commands.

- **API & Middleware**: Introduced request context and middleware for
trace IDs and multi-user support; added non-streaming Chat Complete and
“further questions” generation.

- **Logging & Observability**: Implemented custom logger with trace ID,
and asynchronous handling for logs, notifications, and memory writes.

- **Graph Backends**: Improved NebulaGraph session pool management and
stability; fixed Neo4j Community bug.

- **Retrieval & References**: Enabled memos_cube-scoped retrieval,
adjusted reference display/format, and added reject-answer path.

- **Prompts & Templates**: Added multilingual templates and refined Mem
Reader prompt.

- **LLM & Examples**: Updated vLLM adapter, fixed multi-user example,
added user_id field to general_text.

- **Testing**: Added/updated tests for request context, memory reader,
searcher, and logging.

Fix: #(issue)

Docs Issue/PR: (docs-issue-or-pr-link)

Reviewer: @(reviewer)

## Checklist:

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chore: bump version to v1.0.0 (MemTensor#228)

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Summary: (summary)

Fix: #(issue)

Docs Issue/PR: (docs-issue-or-pr-link)

Reviewer: @(reviewer)

## Checklist:

- [ ] I have performed a self-review of my own code | 我已自行检查了自己的代码
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chore: bump version number to v0.2.2 (MemTensor#191)

Bug Fixes:
Fixed date parsing errors and memreader issues
Resolved general text memory problems
Fixed bugs in memos_w_scheduler examples and related issues
Addressed search bugs when calling Nebula
Added metadata filters and fixed bugs in fetching by metadata
Aligned MOSProduct._build_system_prompt signature with MOSCore

New Features:
Added support for removing duplicate nodes in playground and refactored
reorganizer configuration code
Improved memory scheduler architecture and configurations with exception
handling
Supported memos API mode and added memreader for internet-related
content
Enhanced internet search functionality and interface code, modified
default internet search configurations
Added context for playground and fastapi objects, and node existence
checks
Introduced user manager factory pattern and enhanced product API
Added Nebula-related features and configuration updates, along with chat
history functionality
Updated dim environment

Improvements:
Modified docker settings and user manager duplicate field configurations
Rewrote query functionality

Documentation & DevOps:
Updated version
with significant enhancements in functionality, bug fixes, and
configuration adjustments to improve overall performance and user
experience.