diff --git a/README.md b/README.md index 1af01b15..3f60b397 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ Python Version PyPI Version License - GitHub Stars + GitHub Stars

@@ -78,7 +78,7 @@ Learn more about how to use tool memory from [tool memory](docs/tool_memory/tool integrated into the memory service of agentscope-runtime. - **[2025-09]** 🎉 ReMe v0.1 officially released, integrating task memory and personal memory. If you want to use the original memoryscope project, you can find it - in [MemoryScope](https://github.com/modelscope/Reme/tree/memoryscope_branch). + in [MemoryScope](https://github.com/agentscope-ai/ReMe/tree/memoryscope_branch). - **[2025-09]** 🧪 We validated the effectiveness of task memory extraction and reuse in agents in appworld, bfcl(v3), and frozenlake environments. For more information, check [appworld exp](docs/cookbook/appworld/quickstart.md), [bfcl exp](docs/cookbook/bfcl/quickstart.md), @@ -86,7 +86,7 @@ Learn more about how to use tool memory from [tool memory](docs/tool_memory/tool - **[2025-08]** 🚀 MCP protocol support is now available -> [MCP Quick Start](docs/mcp_quick_start.md). - **[2025-06]** 🚀 Multiple backend vector storage support (Elasticsearch & ChromaDB) -> [Vector DB quick start](docs/vector_store_api_guide.md). -- **[2024-09]** 🧠 [MemoryScope](https://github.com/modelscope/Reme/tree/memoryscope_branch) v0.1 released, +- **[2024-09]** 🧠 [MemoryScope](https://github.com/agentscope-ai/ReMe/tree/memoryscope_branch) v0.1 released, personalized and time-aware memory storage and usage. --- @@ -102,7 +102,7 @@ pip install reme-ai ### Install from Source ```bash -git clone https://github.com/modelscope/ReMe.git +git clone https://github.com/agentscope-ai/ReMe.git cd ReMe pip install . ``` @@ -757,10 +757,10 @@ We believe the best memory systems come from collective wisdom. Contributions we ## 📄 Citation ```bibtex -@software{ReMe2025, - title = {ReMe: Memory Management Kit for Agents}, +@software{AgentscopeReMe2025, + title = {AgentscopeReMe: Memory Management Kit for Agents}, author = {Li Yu, Jiaji Deng, Zouying Cao}, - url = {https://github.com/modelscope/ReMe}, + url = {https://reme.agentscope.io}, year = {2025} } ``` diff --git a/docs/_config.yml b/docs/_config.yml index 927fdff6..144c43e4 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -108,12 +108,12 @@ sphinx: html_theme_options: top_of_page_buttons: ["view"] sidebar_hide_name: false - source_repository: "https://github.com/modelscope/ReMe" + source_repository: "https://github.com/agentscope-ai/ReMe" source_branch: "main" source_directory: "docs/" footer_icons: - name: GitHub - url: "https://github.com/modelscope/ReMe" + url: "https://github.com/agentscope-ai/ReMe" html: | @@ -128,4 +128,5 @@ sphinx: color-brand-content: "#64b5f6" # jupyter-book build --all . +# echo "reme.agentscope.io" > _build/html/CNAME # ghp-import -n -p -f _build/html \ No newline at end of file diff --git a/docs/cookbook/appworld/quickstart.md b/docs/cookbook/appworld/quickstart.md index f1695819..f348587e 100644 --- a/docs/cookbook/appworld/quickstart.md +++ b/docs/cookbook/appworld/quickstart.md @@ -8,7 +8,7 @@ This guide helps you quickly set up and run AppWorld experiments with ReMe integ ### 1. Clone the Repository ```bash -git clone https://github.com/modelscope/ReMe.git +git clone https://github.com/agentscope-ai/ReMe.git cd ReMe/cookbook/appworld ``` diff --git a/docs/cookbook/bfcl/quickstart.md b/docs/cookbook/bfcl/quickstart.md index cb82ed97..2c9b81a1 100644 --- a/docs/cookbook/bfcl/quickstart.md +++ b/docs/cookbook/bfcl/quickstart.md @@ -51,7 +51,7 @@ python run_bfcl.py ### 3. Start ReMe Service and Init the task memory pool -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): +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): ```bash reme \ diff --git a/docs/cookbook/experiment_overview.md b/docs/cookbook/experiment_overview.md index bb3f5e68..4bb1521d 100644 --- a/docs/cookbook/experiment_overview.md +++ b/docs/cookbook/experiment_overview.md @@ -53,4 +53,4 @@ We evaluated Tool Memory effectiveness using a controlled benchmark with three m - Tool Memory enables data-driven tool selection based on historical performance - Success rates improved by ~15% with learned parameter configurations -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). +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). diff --git a/docs/cookbook/frozenlake/quickstart.md b/docs/cookbook/frozenlake/quickstart.md index a5dd03f0..81a35a7b 100644 --- a/docs/cookbook/frozenlake/quickstart.md +++ b/docs/cookbook/frozenlake/quickstart.md @@ -22,7 +22,7 @@ This guide helps you quickly set up and run FrozenLake experiments with ReMe int ### 1. Clone the Repository ```bash -git clone https://github.com/modelscope/ReMe.git +git clone https://github.com/agentscope-ai/ReMe.git cd ReMe/cookbook/frozenlake ``` diff --git a/docs/index.md b/docs/index.md index 635971f5..e44d9ccd 100644 --- a/docs/index.md +++ b/docs/index.md @@ -19,7 +19,7 @@ kernelspec: Python Version PyPI Version License - GitHub Stars + GitHub Stars --- @@ -130,7 +130,7 @@ response = requests.post("http://localhost:8002/retrieve_task_memory", json={ @software{ReMe2025, title = {ReMe: Memory Management Kit for Agents}, author = {Li Yu, Jiaji Deng, Zouying Cao}, - url = {https://github.com/modelscope/ReMe}, + url = {https://github.com/agentscope-ai/ReMe}, year = {2025} } ``` diff --git a/docs/installation.md b/docs/installation.md index ff652b4f..70ab0a9a 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -23,7 +23,7 @@ pip install reme-ai ### Install from Source ```bash -git clone https://github.com/modelscope/ReMe.git +git clone https://github.com/agentscope-ai/ReMe.git cd ReMe pip install . ``` diff --git a/docs/mcp_quick_start.md b/docs/mcp_quick_start.md index a270c245..1fb1dc6c 100644 --- a/docs/mcp_quick_start.md +++ b/docs/mcp_quick_start.md @@ -42,7 +42,7 @@ pip install reme-ai ### Option 2: Install from Source ```bash -git clone https://github.com/modelscope/ReMe.git +git clone https://github.com/agentscope-ai/ReMe.git cd ReMe pip install . ``` diff --git a/reme_ai/service/service_description.md b/reme_ai/service/service_description.md index 8588a994..9cf23aed 100644 --- a/reme_ai/service/service_description.md +++ b/reme_ai/service/service_description.md @@ -12,7 +12,7 @@ ReMe.PersonalMemoryService from reme_ai.service.personal_memory_service import PersonalMemoryService 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. - https://github.com/modelscope/ReMe Need to configure environment variables: FLOW_EMBEDDING_API_KEY, FLOW_EMBEDDING_BASE_URL, FLOW_LLM_API_KEY and FLOW_LLM_BASE_URL + https://github.com/agentscope-ai/ReMe Need to configure environment variables: FLOW_EMBEDDING_API_KEY, FLOW_EMBEDDING_BASE_URL, FLOW_LLM_API_KEY and FLOW_LLM_BASE_URL ReMe.TaskMemoryService