Merge pull request #250 from strickvl/patch-1

Add ZenML
This commit is contained in:
Frank Fiegel
2025-03-31 10:02:04 -06:00
committed by GitHub

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@@ -283,6 +283,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
- [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents. - [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents.
- [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - An MCP server to convert almost any file or web content into Markdown - [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - An MCP server to convert almost any file or web content into Markdown
- [@reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) 🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. - [@reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) 🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
- [zenml-io/mcp-zenml](https://github.com/zenml-io/mcp-zenml) 🐍 🏠 ☁️ - An MCP server to connect with your [ZenML](https://www.zenml.io) MLOps and LLMOps pipelines
- [hanlulong/stata-mcp](https://github.com/hanlulong/stata-mcp) - MCP server for Stata (popular in economic analysis) with VS code and Cursor extension. - [hanlulong/stata-mcp](https://github.com/hanlulong/stata-mcp) - MCP server for Stata (popular in economic analysis) with VS code and Cursor extension.
### 📂 <a name="file-systems"></a>File Systems ### 📂 <a name="file-systems"></a>File Systems
@@ -343,6 +344,7 @@ Integration with gaming related data, game engines, and services
### 🧠 <a name="knowledge--memory"></a>Knowledge & Memory ### 🧠 <a name="knowledge--memory"></a>Knowledge & Memory
Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions. Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
- [@modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context - [@modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
- [/CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation - [/CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
- [/topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources - [/topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources