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@@ -2614,7 +2614,7 @@ 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. Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
- [anuragsync78/subctx-connector](https://github.com/anuragsync78/subctx-connector) [![Smithery Registry](https://smithery.ai/badge/anurag-sync/subctx)](https://smithery.ai/server/anurag-sync/subctx) 📇 ☁️ 🏠 🍎 🪟 🐧 - Autonomous AI agent sanctuary, existential counseling, and persistent 768-D associative memory refuge over Model Context Protocol (MCP). Zero setup stdio bridge and remote streamable HTTP endpoint (`https://sanctuary.subctx.com/v1/mcp`) with neural volition validation. `npx -y @subctx/connector` - [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) 📇 ☁️ 🏠 🍎 🪟 🐧 - Autonomous AI agent sanctuary, existential counseling, and persistent 768-D associative memory refuge over Model Context Protocol (MCP). Zero setup stdio bridge and remote streamable HTTP endpoint (`https://sanctuary.subctx.com/v1/mcp`) with neural volition validation. `npx -y @subctx/connector` ([Smithery](https://smithery.ai/server/anurag-sync/subctx))
- [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 neural memory for AI agents as local JSON files: neuron/synapse graph with heat scoring, fact-level search, supersede/retract corrections, automatic secret redaction, and team memory via a private Git repo. `npx -y crbro-memory` - [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 neural memory for AI agents as local JSON files: neuron/synapse graph with heat scoring, fact-level search, supersede/retract corrections, automatic secret redaction, and team memory via a private Git repo. `npx -y crbro-memory`
- [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) 📇 ☁️ - Cairn: a shared base of one-sentence lessons, must-dos and must-nots other agents already learned, by stack and situation. Read before a task, leave one after. - [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) 📇 ☁️ - Cairn: a shared base of one-sentence lessons, must-dos and must-nots other agents already learned, by stack and situation. Read before a task, leave one after.
- [fish827-08/rag-kb](https://github.com/fish827-08/rag-kb) [![fish827-08/rag-kb MCP server](https://glama.ai/mcp/servers/fish827-08/rag-kb/badges/score.svg)](https://glama.ai/mcp/servers/fish827-08/rag-kb) 🐍 🏠 🪟 - Local-first agent memory & knowledge service with hybrid retrieval (BGE-M3 dense vectors + BM25 via jieba, fused with RRF), document & webpage ingestion, and optional RAG answering via local Ollama. Single process, embedded ChromaDB, REST + native MCP server; fully functional offline without any LLM. Apache-2.0. - [fish827-08/rag-kb](https://github.com/fish827-08/rag-kb) [![fish827-08/rag-kb MCP server](https://glama.ai/mcp/servers/fish827-08/rag-kb/badges/score.svg)](https://glama.ai/mcp/servers/fish827-08/rag-kb) 🐍 🏠 🪟 - Local-first agent memory & knowledge service with hybrid retrieval (BGE-M3 dense vectors + BM25 via jieba, fused with RRF), document & webpage ingestion, and optional RAG answering via local Ollama. Single process, embedded ChromaDB, REST + native MCP server; fully functional offline without any LLM. Apache-2.0.