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Add AI Counsel MCP server

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Gary Harrison 2025-10-22 09:28:12 +01:00
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@ -808,6 +808,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors. - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.
- [JamesANZ/memory-mcp](https://github.com/JamesANZ/memory-mcp) 📇 🏠 - An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification. - [JamesANZ/memory-mcp](https://github.com/JamesANZ/memory-mcp) 📇 🏠 - An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.
- [JamesANZ/cross-llm-mcp](https://github.com/JamesANZ/cross-llm-mcp) 📇 🏠 - An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations. - [JamesANZ/cross-llm-mcp](https://github.com/JamesANZ/cross-llm-mcp) 📇 🏠 - An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.
- [AI Counsel](https://github.com/harrison/ai-counsel) - 🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.
### 🗺️ <a name="location-services"></a>Location Services ### 🗺️ <a name="location-services"></a>Location Services