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…r#17) * ci: Add issue templates for bug reports and feature requests; update pull request template and GitHub Actions workflow * docs: Add CONTRIBUTING guidelines to the repository * docs: Update contribution guidelines link in README
docs: add long version MemOS paper Co-authored-by: Wang Hanyu <128483880+MarrytheToilet@users.noreply.github.com>
* feat(eval): add eval dependencies * feat(eval): add configs example * docs(eval): update README.md * feat(eval): remove the dependency (pydantic)
…or testing (MemTensor#23) Co-authored-by: CaralHsi <caralhsi@gmail.com>
Co-authored-by: CaralHsi <caralhsi@gmail.com>
* ci: include mac and win * fix: use pathlib for cross-platform path handling in cube creation test * fix: improve file path handling in test_dump using os.path.join * fix: use a small hf model instead * fix: add LLMFactory mock to test MOS initialization with invalid user * fix: remove warning about platform support * fix:db close in windows for sqlitedb * fix: fix ci * fix: delete db after close and get permission * ci: explicitly checks macos-14 and macos-15 * docs: add warning about macOS compatibility --------- Co-authored-by: fridayL <lcy081099@gmail.com>
* feat(eval): add eval dependencies * feat(eval): add configs example * docs(eval): update README.md * feat(eval): remove the dependency (pydantic) * feat(eval): add run locomo eval script * fix(eval): delete about memos redundant search branches * chore: fix format
* feat: add cot and internet search for memory * fix: update openapi * fix:change examples name
…ensor#45) * docs: update pull request template for clarity and completeness * docs: fix
feat: change new version
- Project Management:
Added issue templates and updated pull request template for better
contribution workflow
Enhanced PR template for clarity and completeness
- 📖 Documentation & Research:
Published long version of MemOS paper
Updated citations and references
Migrated all documentation to dedicated MemOS-Docs repository
Improved documentation structure and accessibility
- 🧪 Evaluation & Testing:
Added evaluation configuration examples
Implemented run locomo eval script for performance testing
Fixed redundant memory search branches in evaluation system
- 🔧 Features & Functionality:
Added internet retrieval capabilities to MemOS
Implemented Chain-of-Thought (CoT) functionality
Fixed ParsedTaskGoal usage in examples
Added unrelated memory filtering functionality
* feat(eval): add eval dependencies * feat(eval): add configs example * docs(eval): update README.md * feat(eval): remove the dependency (pydantic) * feat(eval): add run locomo eval script * fix(eval): delete about memos redundant search branches * chore: fix format * feat(eval): add openai memory on locomo - eval guide * docs(eval): modify openai memory on locomo - eval guide
* fix n4j cypher query * feat: add llm extra body * feat: update memory extraction prompt and result parser * fix: evaluation locomo search * ci: fix format and update test * feat: update result json parser
Recent updates include: Updated feature request template and documentation links/images Added structure reorganizer and conflict resolver functionality Implemented OpenAI memory integration with evaluation guide Updated memory reader with bug fixes Key changes: Template improvements, new conflict resolution tools, memory system enhancements, and bug fixes.
* fix: reorganizer bug * refactor: update conflict redundancy handling to archive nodes instead of deleting * fix: mute redundancy resolution --------- Co-authored-by: dany <973031439@qq.com>
* feat: add volcengine embedding support * test: add volcengine embedding test * feat(embedder): add support for ArkEmbedder * fixed: minor typo fix and remove unnecessary function * test: add image embedding test * fixed: remove images embed support and test * fixed: change chunk_size default value
* fix: GeneralTextMemory._embed_one_sentence Argument Error * fix: fix unittest
* feat: add neo4j share-db example * feat: add Shared Database Multi-Tenant Mode * fix: neo4j auto create bug * fix: tree text memory reorganizer bug * feat: change 'RELATE_TO' to 'RELATE' * fix: database exist bug * feat: delete useless relation edge * feat: finish Shared Database Multi-Tenant Mode * feat: add share database multi tenant tree config * feat: add shared-db mode config * fix: file name bug in example tree text memory] * style: add user_name from config
* feat: add api embedder * test: add unittest for universal api embedder * Update src/memos/embedders/universal_api.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update src/memos/configs/embedder.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * style: reformat * style: reformat --------- Co-authored-by: chunyu li <78344051+fridayL@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…Tensor#69) feat: add embedder consistency check with warning and tests Resolves configuration scope issue where MemCube and MOS embedder configs could differ without user awareness. Co-authored-by: chunyu li <78344051+fridayL@users.noreply.github.com>
* feat: add product API and related functionality (cleaned sensitive data) * feat: add singleton for memos and llm * fix:fix persistent_user_manager * feat:update prompt and rm readme * fix：ci code * feat: update demo and add user manager (MemTensor#31) * feat: add product API and related functionality (cleaned sensitive data) * feat: add singleton for memos and llm * fix:fix persistent_user_manager * feat:update prompt and rm readme * fix：ci code * Feature & Fix bugs: mem scheduler with rabbitmq and web log submission * fix bug of message consuming * add a range of configs * support rabbitmq * add new docs for the beginner * add more examples * fix:UserRole error * update: update product api * fix: suggestion mem * update:fix add mem * feat: update chat * fix: add uuid and product think * update: search data * fix:update * fix:chat mem * feat:vllm llm support version0 * feat: update zh en and mem * feat: update cube ids * feat:vllm llm support version0.5 * fix: memchat multi turn * feat: add multi-language feature in mem-reader * feat: add multi-language feature in mem-reader * feat: add multi-language feature in tree reorganizer * feat: reinforce language * fix:fix search and add product tmp data * fix bugs & refactor the code: mem scheduler support web log feature * refactor & fix bugs: mem scheduler related codes including modules like dispatcher and retriever, the dependencies and the unittest. * fix:remove dup * feat: add logs * feat:vllm llm support streaming generate and add benchmark script * add: chat time for add * fix:merge error * fix:merge error * feat & fix bugs: factor mem scheduler. test_retriever.py is waiting for test * feat:add vllm chat model * fix bugs: filter logging of retriever module in mem scheduler * fix: test_api * feat:update feat * fix: manager * feat: add vllm cahche * fix bugs: fix scheduler logging bug of working memory replacement * refactor: change default update interval * fix bugs: fix bugs in update activation memory in memory scheduler * add support for azure backend * feat: add deafult config overide for store config * feat: add MOS_ENABLE_REORGANIZE config * fix bugs: fix bugs of filter and updating activation memories * fix bugs: change name * feat: add act mme * fix:poetry lock * delete: del file --------- Co-authored-by: chentang <travistang@foxmail.com> Co-authored-by: Kai <kakack@126.com> Co-authored-by: 席阳阳 <caralhsi@gmail.com> Co-authored-by: zhangyibo.114514 <zhangyibo.114514@bytedance.com>
* fix time * add timed step for llm * fix:ci code * fix：test * remove * update * feat: remove request body * feat: remove trace id * feat: remove trace id
* feat: add default processing in mem-reader * feat: not include embedding
* fix time * add timed step for llm * fix:ci code * fix：test * remove * update * feat: remove request body * feat: remove trace id * feat: remove trace id * feat: add workers * feat: update load fast api
* fix time * add timed step for llm * fix:ci code * fix：test * remove * update * feat: remove request body * feat: remove trace id * feat: remove trace id * feat: add workers * feat: update load fast api * add run
…o test if can answer current query. add more info for analysis
…g of dumping results
* feat: add default processing in mem-reader * feat: not include embedding * feat: add logger to detect remove-old-memory error
* feat: recall and searcher use parallel * feat: recall and searcher format
## Description <!-- Please include a summary of the changes below; Fill in the issue number that this PR addresses (if applicable); Fill in the related MemOS-Docs repository issue or PR link (if applicable); Mention the person who will review this PR (if you know who it is); Replace (summary), (issue), (docs-issue-or-pr-link), and (reviewer) with the appropriate information. 请在下方填写更改的摘要； 填写此 PR 解决的问题编号（如果适用）； 填写相关的 MemOS-Docs 仓库 issue 或 PR 链接（如果适用）； 提及将审查此 PR 的人（如果您知道是谁）； 替换 (summary)、(issue)、(docs-issue-or-pr-link) 和 (reviewer) 为适当的信息。 --> 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 - [ ] 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
## Description <!-- Please include a summary of the changes below; Fill in the issue number that this PR addresses (if applicable); Fill in the related MemOS-Docs repository issue or PR link (if applicable); Mention the person who will review this PR (if you know who it is); Replace (summary), (issue), (docs-issue-or-pr-link), and (reviewer) with the appropriate information. 请在下方填写更改的摘要； 填写此 PR 解决的问题编号（如果适用）； 填写相关的 MemOS-Docs 仓库 issue 或 PR 链接（如果适用）； 提及将审查此 PR 的人（如果您知道是谁）； 替换 (summary)、(issue)、(docs-issue-or-pr-link) 和 (reviewer) 为适当的信息。 --> 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) Reviewer: @(reviewer) ## Checklist: - [x] I have performed a self-review of my own code | 我已自行检查了自己的代码 - [x] 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
feat: 实现äºprefeval memos-api evaluation scripts
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