diff --git a/README.md b/README.md index 30f01f49c..d060b5d28 100644 --- a/README.md +++ b/README.md @@ -43,7 +43,7 @@ --- -SOTA SCORE +SOTA SCORE **MemOS** is an operating system for Large Language Models (LLMs) that enhances them with long-term memory capabilities. It allows LLMs to store, retrieve, and manage information, enabling more context-aware, consistent, and personalized interactions. @@ -52,6 +52,28 @@ - **API Reference**: https://memos-docs.openmem.net/docs/api/info/ - **Source Code**: https://github.com/MemTensor/MemOS +## 📰 News + +Stay up to date with the latest MemOS announcements, releases, and community highlights. + + +- **2025-11-06** - 🎉 MemOS v1.1.3 (Async Memory & Preference): + Millisecond-level async memory add (support plain-text-memory and + preference memory); enhanced BM25, graph recall, and mixture search; full + results & code for LoCoMo, LongMemEval, PersonaMem, and PrefEval released. +- **2025-10-30** - 🎉 MemOS v1.1.2 (API & MCP Update): +API architecture overhaul and full MCP (Model Context Protocol) support — enabling models, IDEs, and agents to read/write external memory directly. +- **2025-09-10** - 🎉 *MemOS v1.0.1 (Group Q&A Bot)*: Group Q&A bot based on MemOS Cube, updated KV-Cache performance comparison data across different GPU deployment schemes, optimized test benchmarks and statistics, added plaintext memory Reranker sorting, optimized plaintext memory hallucination issues, and Playground version updates. [Try PlayGround](https://memos-playground.openmem.net/login/) +- **2025-08-07** - 🎉 *MemOS v1.0.0 (MemCube Release)*: First MemCube with word game demo, LongMemEval evaluation, BochaAISearchRetriever integration, NebulaGraph support, enhanced search capabilities, and official Playground launch. +- **2025-07-29** – 🎉 *MemOS v0.2.2 (Nebula Update)*: Internet search+Nebula DB integration, refactored memory scheduler, KV Cache stress tests, MemCube Cookbook release (CN/EN), and 4b/1.7b/0.6b memory ops models. +- **2025-07-21** – 🎉 *MemOS v0.2.1 (Neo Release)*: Lightweight Neo version with plaintext+KV Cache functionality, Docker/multi-tenant support, MCP expansion, and new Cookbook/Mud game examples. +- **2025-07-11** – 🎉 *MemOS v0.2.0 (Cross-Platform)*: Added doc search/bilingual UI, MemReader-4B (local deploy), full Win/Mac/Linux support, and playground end-to-end connection. +- **2025-07-07** – 🎉 *MemOS 1.0 (Stellar) Preview Release*: A SOTA Memory OS for LLMs is now open-sourced. +- **2025-07-04** – 🎉 *MemOS Paper Released*: [MemOS: A Memory OS for AI System](https://arxiv.org/abs/2507.03724) was published on arXiv. +- **2025-05-28** – 🎉 *Short Paper Uploaded*: [MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models](https://arxiv.org/abs/2505.22101) was published on arXiv. +- **2024-07-04** – 🎉 *Memory3 Model Released at WAIC 2024*: The new memory-layered architecture model was unveiled at the 2024 World Artificial Intelligence Conference. +- **2024-07-01** – 🎉 *Memory3 Paper Released*: [Memory3: Language Modeling with Explicit Memory](https://arxiv.org/abs/2407.01178) introduces the new approach to structured memory in LLMs. + ## 📈 Performance Benchmark MemOS demonstrates significant improvements over baseline memory solutions in multiple memory tasks, @@ -265,19 +287,3 @@ We welcome contributions from the community! Please read our [contribution guide ## 📄 License MemOS is licensed under the [Apache 2.0 License](./LICENSE). - -## 📰 News - -Stay up to date with the latest MemOS announcements, releases, and community highlights. - - -- **2025-09-10** - 🎉 *MemOS v1.0.1 (Group Q&A Bot)*: Group Q&A bot based on MemOS Cube, updated KV-Cache performance comparison data across different GPU deployment schemes, optimized test benchmarks and statistics, added plaintext memory Reranker sorting, optimized plaintext memory hallucination issues, and Playground version updates. [Try PlayGround](https://memos-playground.openmem.net/login/) -- **2025-08-07** - 🎉 *MemOS v1.0.0 (MemCube Release)*: First MemCube with word game demo, LongMemEval evaluation, BochaAISearchRetriever integration, NebulaGraph support, enhanced search capabilities, and official Playground launch. -- **2025-07-29** – 🎉 *MemOS v0.2.2 (Nebula Update)*: Internet search+Nebula DB integration, refactored memory scheduler, KV Cache stress tests, MemCube Cookbook release (CN/EN), and 4b/1.7b/0.6b memory ops models. -- **2025-07-21** – 🎉 *MemOS v0.2.1 (Neo Release)*: Lightweight Neo version with plaintext+KV Cache functionality, Docker/multi-tenant support, MCP expansion, and new Cookbook/Mud game examples. -- **2025-07-11** – 🎉 *MemOS v0.2.0 (Cross-Platform)*: Added doc search/bilingual UI, MemReader-4B (local deploy), full Win/Mac/Linux support, and playground end-to-end connection. -- **2025-07-07** – 🎉 *MemOS 1.0 (Stellar) Preview Release*: A SOTA Memory OS for LLMs is now open-sourced. -- **2025-07-04** – 🎉 *MemOS Paper Released*: [MemOS: A Memory OS for AI System](https://arxiv.org/abs/2507.03724) was published on arXiv. -- **2025-05-28** – 🎉 *Short Paper Uploaded*: [MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models](https://arxiv.org/abs/2505.22101) was published on arXiv. -- **2024-07-04** – 🎉 *Memory3 Model Released at WAIC 2024*: The new memory-layered architecture model was unveiled at the 2024 World Artificial Intelligence Conference. -- **2024-07-01** – 🎉 *Memory3 Paper Released*: [Memory3: Language Modeling with Explicit Memory](https://arxiv.org/abs/2407.01178) introduces the new approach to structured memory in LLMs. diff --git a/pyproject.toml b/pyproject.toml index 2f88797a8..29a29cca8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ ############################################################################## name = "MemoryOS" -version = "1.1.2" +version = "1.1.3" description = "Intelligence Begins with Memory" license = {text = "Apache-2.0"} readme = "README.md" diff --git a/src/memos/__init__.py b/src/memos/__init__.py index e859c5bdc..60e540273 100644 --- a/src/memos/__init__.py +++ b/src/memos/__init__.py @@ -1,4 +1,4 @@ -__version__ = "1.1.2" +__version__ = "1.1.3" from memos.configs.mem_cube import GeneralMemCubeConfig from memos.configs.mem_os import MOSConfig