From 01208e4cc3d1eea1c6ab9c47f4ae84fed26670e7 Mon Sep 17 00:00:00 2001 From: dockndevai Date: Fri, 18 Sep 2026 00:26:37 +0000 Subject: [PATCH] =?UTF-8?q?Add=20ossian-mcp=20to=20Knowledge=20&=20Memory?= =?UTF-8?q?=20=F0=9F=A4=96=F0=9F=A4=96=F0=9F=A4=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 45f85250f..89d1f806e 100644 --- a/README.md +++ b/README.md @@ -2614,6 +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. +- [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) 📇 🏠 🍎 🪟 🐧 - Ask your own documents and get answers with the exact passages they came from (RAG with citations, and it says "not found" rather than inventing an answer), plus durable agent memory ranked by relevance, importance and recency. Safe by default: starts in a read-only access mode, with write/ingest and irreversible forget behind explicit opt-ins. `npx -y ossian-mcp` - [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. - [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.