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docs(config): update github repository links to agentscope-ai
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README.md
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README.md
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@ -6,7 +6,7 @@
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<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/python-3.12+-blue" alt="Python Version"></a>
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<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/pypi-v0.1.10.x-blue?logo=pypi" alt="PyPI Version"></a>
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-black" alt="License"></a>
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<a href="https://github.com/modelscope/ReMe"><img src="https://img.shields.io/github/stars/modelscope/ReMe?style=social" alt="GitHub Stars"></a>
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<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/stars/modelscope/ReMe?style=social" alt="GitHub Stars"></a>
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</p>
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<p align="center">
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@ -78,7 +78,7 @@ Learn more about how to use tool memory from [tool memory](docs/tool_memory/tool
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integrated into the memory service of agentscope-runtime.
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- **[2025-09]** 🎉 ReMe v0.1 officially released, integrating task memory and personal memory. If you want to use the
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original memoryscope project, you can find it
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in [MemoryScope](https://github.com/modelscope/Reme/tree/memoryscope_branch).
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in [MemoryScope](https://github.com/agentscope-ai/ReMe/tree/memoryscope_branch).
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- **[2025-09]** 🧪 We validated the effectiveness of task memory extraction and reuse in agents in appworld, bfcl(v3),
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and frozenlake environments. For more information,
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check [appworld exp](docs/cookbook/appworld/quickstart.md), [bfcl exp](docs/cookbook/bfcl/quickstart.md),
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@ -86,7 +86,7 @@ Learn more about how to use tool memory from [tool memory](docs/tool_memory/tool
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- **[2025-08]** 🚀 MCP protocol support is now available -> [MCP Quick Start](docs/mcp_quick_start.md).
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- **[2025-06]** 🚀 Multiple backend vector storage support (Elasticsearch &
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ChromaDB) -> [Vector DB quick start](docs/vector_store_api_guide.md).
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- **[2024-09]** 🧠 [MemoryScope](https://github.com/modelscope/Reme/tree/memoryscope_branch) v0.1 released,
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- **[2024-09]** 🧠 [MemoryScope](https://github.com/agentscope-ai/ReMe/tree/memoryscope_branch) v0.1 released,
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personalized and time-aware memory storage and usage.
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---
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@ -102,7 +102,7 @@ pip install reme-ai
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### Install from Source
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```bash
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git clone https://github.com/modelscope/ReMe.git
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe
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pip install .
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```
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@ -757,10 +757,10 @@ We believe the best memory systems come from collective wisdom. Contributions we
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## 📄 Citation
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```bibtex
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@software{ReMe2025,
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title = {ReMe: Memory Management Kit for Agents},
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@software{AgentscopeReMe2025,
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title = {AgentscopeReMe: Memory Management Kit for Agents},
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author = {Li Yu, Jiaji Deng, Zouying Cao},
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url = {https://github.com/modelscope/ReMe},
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url = {https://reme.agentscope.io},
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year = {2025}
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}
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```
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@ -108,12 +108,12 @@ sphinx:
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html_theme_options:
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top_of_page_buttons: ["view"]
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sidebar_hide_name: false
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source_repository: "https://github.com/modelscope/ReMe"
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source_repository: "https://github.com/agentscope-ai/ReMe"
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source_branch: "main"
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source_directory: "docs/"
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footer_icons:
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- name: GitHub
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url: "https://github.com/modelscope/ReMe"
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url: "https://github.com/agentscope-ai/ReMe"
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html: |
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<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16">
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<path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z"></path>
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@ -128,4 +128,5 @@ sphinx:
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color-brand-content: "#64b5f6"
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# jupyter-book build --all .
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# echo "reme.agentscope.io" > _build/html/CNAME
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# ghp-import -n -p -f _build/html
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@ -8,7 +8,7 @@ This guide helps you quickly set up and run AppWorld experiments with ReMe integ
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### 1. Clone the Repository
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```bash
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git clone https://github.com/modelscope/ReMe.git
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe/cookbook/appworld
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```
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@ -51,7 +51,7 @@ python run_bfcl.py
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### 3. Start ReMe Service and Init the task memory pool
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After collecting trajectories, Launch the ReMe service (make sure you have installed ReMe environment, if not please follow the steps in the [ReMe Installation Guide](https://github.com/modelscope/ReMe/blob/main/doc/README.md) to install):
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After collecting trajectories, Launch the ReMe service (make sure you have installed ReMe environment, if not please follow the steps in the [ReMe Installation Guide](https://github.com/agentscope-ai/ReMe/blob/main/doc/README.md) to install):
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```bash
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reme \
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@ -53,4 +53,4 @@ We evaluated Tool Memory effectiveness using a controlled benchmark with three m
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- Tool Memory enables data-driven tool selection based on historical performance
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- Success rates improved by ~15% with learned parameter configurations
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You can find more details in [tool_bench.md](../tool_memory/tool_bench.md) and the implementation at [run_reme_tool_bench.py](https://github.com/modelscope/ReMe/tree/main/cookbook/tool_memory/run_reme_tool_bench.py).
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You can find more details in [tool_bench.md](../tool_memory/tool_bench.md) and the implementation at [run_reme_tool_bench.py](https://github.com/agentscope-ai/ReMe/tree/main/cookbook/tool_memory/run_reme_tool_bench.py).
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@ -22,7 +22,7 @@ This guide helps you quickly set up and run FrozenLake experiments with ReMe int
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### 1. Clone the Repository
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```bash
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git clone https://github.com/modelscope/ReMe.git
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe/cookbook/frozenlake
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```
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@ -19,7 +19,7 @@ kernelspec:
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<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/python-3.12+-blue" alt="Python Version"></a>
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<a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/pypi-v0.1.10.7-blue?logo=pypi" alt="PyPI Version"></a>
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-black" alt="License"></a>
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<a href="https://github.com/modelscope/ReMe"><img src="https://img.shields.io/github/stars/modelscope/ReMe?style=social" alt="GitHub Stars"></a>
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<a href="https://github.com/agentscope-ai/ReMe"><img src="https://img.shields.io/github/stars/modelscope/ReMe?style=social" alt="GitHub Stars"></a>
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</div>
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---
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@ -130,7 +130,7 @@ response = requests.post("http://localhost:8002/retrieve_task_memory", json={
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@software{ReMe2025,
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title = {ReMe: Memory Management Kit for Agents},
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author = {Li Yu, Jiaji Deng, Zouying Cao},
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url = {https://github.com/modelscope/ReMe},
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url = {https://github.com/agentscope-ai/ReMe},
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year = {2025}
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}
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```
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@ -23,7 +23,7 @@ pip install reme-ai
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### Install from Source
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```bash
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git clone https://github.com/modelscope/ReMe.git
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe
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pip install .
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```
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### Option 2: Install from Source
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```bash
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git clone https://github.com/modelscope/ReMe.git
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git clone https://github.com/agentscope-ai/ReMe.git
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cd ReMe
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pip install .
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```
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<td align="center">ReMe.PersonalMemoryService</td>
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<td><code>from reme_ai.service.personal_memory_service import PersonalMemoryService</code></td>
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<td>ReMe's personalized memory service (formerly MemoryScope) empowers you to generate, retrieve, and share customized memories. Leveraging advanced LLM, embedding, and vector store technologies, it builds a comprehensive memory system with intelligent, context- and time-aware memory management—seamlessly enabling you to configure and deploy powerful AI agents.</td>
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<td align="center">https://github.com/modelscope/ReMe Need to configure environment variables: <code>FLOW_EMBEDDING_API_KEY</code>, <code>FLOW_EMBEDDING_BASE_URL</code>, <code>FLOW_LLM_API_KEY</code> and <code>FLOW_LLM_BASE_URL</code></td>
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<td align="center">https://github.com/agentscope-ai/ReMe Need to configure environment variables: <code>FLOW_EMBEDDING_API_KEY</code>, <code>FLOW_EMBEDDING_BASE_URL</code>, <code>FLOW_LLM_API_KEY</code> and <code>FLOW_LLM_BASE_URL</code></td>
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</tr>
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<tr>
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<td align="center">ReMe.TaskMemoryService</td>
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