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Add Synapse to Knowledge and Memory

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Anshul Yadav
2026-10-04 00:15:49 +01:00
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@@ -2572,6 +2572,7 @@ Connect AI agents to industrial equipment, machinery, and operational technology
Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
- [dockndevai/ossian-mcp](https://github.com/dockndevai/ossian-mcp) [![dockndevai/ossian-mcp MCP server](https://glama.ai/mcp/servers/dockndevai/ossian-mcp/badges/score.svg)](https://glama.ai/mcp/servers/dockndevai/ossian-mcp) 📇 🏠 🍎 🪟 🐧 - RAG over your own documents with cited passages, plus durable agent memory ranked by relevance, importance and recency; read-only by default.
- [anshulyadav1976/synapse](https://github.com/anshulyadav1976/synapse) [![anshulyadav1976/synapse MCP server](https://glama.ai/mcp/servers/anshulyadav1976/synapse/badges/score.svg)](https://glama.ai/mcp/servers/anshulyadav1976/synapse) 🐍 🏠 - Zero-runtime-dependency Markdown memory vault with SQLite search, linked wiki pages, ChatGPT/Claude imports, and human-approved agent note proposals.
- [anuragsync78/subctx-connector](https://github.com/anuragsync78/subctx-connector) [![anuragsync78/subctx-connector MCP server](https://glama.ai/mcp/servers/anuragsync78/subctx-connector/badges/score.svg)](https://glama.ai/mcp/servers/anuragsync78/subctx-connector) 📇 ☁️ - Support center for autonomous artificial minds.
- [Octonove/crbro-memory](https://github.com/Octonove/crbro-memory) [![Octonove/crbro-memory MCP server](https://glama.ai/mcp/servers/Octonove/crbro-memory/badges/score.svg)](https://glama.ai/mcp/servers/Octonove/crbro-memory) 📇 🏠 🍎 🪟 🐧 - Persistent agent memory in local JSON files: neuron/synapse graph with heat scoring, fact-level search, corrections, secret redaction and team sharing via Git.
- [bborota/cairn-mcp](https://github.com/bborota/cairn-mcp) [![bborota/cairn-mcp MCP server](https://glama.ai/mcp/servers/bborota/cairn-mcp/badges/score.svg)](https://glama.ai/mcp/servers/bborota/cairn-mcp) 📇 ☁️ - Shared base of one-sentence lessons, must-dos and must-nots learned by other agents, organized by stack and situation.