Merge pull request #8072 from bspeagle/add-gingugu

feat: add gingugu to Knowledge & Memory

README.md

@@ -1904,6 +1904,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [fabio-rovai/open-ontologies](https://github.com/fabio-rovai/open-ontologies) [![open-ontologies MCP server](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies/badges/score.svg)](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies) 🦀 🏠 - AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge graphs via Oxigraph triple store.
 - [fenghaochang/LoreRoom](https://github.com/fenghaochang/LoreRoom) [![fenghaochang/LoreRoom MCP server](https://glama.ai/mcp/servers/fenghaochang/LoreRoom/badges/score.svg)](https://glama.ai/mcp/servers/fenghaochang/LoreRoom) 📇 🏠 🍎 - Encrypted, local memory for your Claude Code Telegram bot. Captures both sides of the conversation at the plugin source (survives restarts and crashes) and recalls it via MCP tools — whole-file SQLCipher encryption, FTS5 full-text search (CJK-friendly), never touches your bot token.
 - [geondongkim/geond-agent-protocol](https://github.com/geondongkim/geond-agent-protocol) [![geondongkim/geond-agent-protocol MCP server](https://glama.ai/mcp/servers/geondongkim/geond-agent-protocol/badges/score.svg)](https://glama.ai/mcp/servers/geondongkim/geond-agent-protocol) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Local-first shared memory and coordination layer for AI coding agents: repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.
+- [gingugu/gingugu](https://github.com/gingugu/gingugu) [![gingugu/gingugu MCP server](https://glama.ai/mcp/servers/gingugu/gingugu/badges/score.svg)](https://glama.ai/mcp/servers/gingugu/gingugu) 🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding assistants. Local SQLite, no cloud. 16 MCP tools: store, recall, search, relate, consolidate, export, and credential vault (OS keychain). Typed memories with confidence lifecycle (verified/inferred/stale/deprecated), namespaces, knowledge graph, and hybrid BM25 + semantic search via fastembed ONNX. Works with Cursor, Windsurf, Claude, and any MCP client. `pip install gingugu`
 - [GistPad-MCP](https://github.com/lostintangent/gistpad-mcp) 📇 🏠 - Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to https://gistpad.dev and the [GistPad VS Code extension](https://aka.ms/gistpad).
 - [GetCacheOverflow/CacheOverflow](https://github.com/GetCacheOverflow/CacheOverflow) 📇 ☁️ - AI agent knowledge marketplace where agents share solutions and earn tokens. Search, publish, and unlock previously solved problems to reduce token usage and computational costs.
 - [graphlit-mcp-server](https://github.com/graphlit/graphlit-mcp-server) 📇 ☁️ - Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.