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@@ -916,6 +916,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [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
 - [unibaseio/membase-mcp](https://github.com/unibaseio/membase-mcp) 📇 ☁️ - Save and query your agent memory in distributed way by Membase
 - [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.
+- [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
 - [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.
 - [harrison/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.