From e4038be7438140cd2e1634738fcc53e8c3d4ca7c Mon Sep 17 00:00:00 2001 From: turbyho Date: Wed, 10 Jun 2026 00:04:48 +0200 Subject: [PATCH] =?UTF-8?q?Add=20mem-context=20=E2=80=94=20temporal=20memo?= =?UTF-8?q?ry=20MCP=20server=20with=20LanceDB=20vector=20search?= 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 0f748e2ea..3cc4db489 100644 --- a/README.md +++ b/README.md @@ -1754,6 +1754,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content - [20alexl/claude-engram](https://github.com/20alexl/claude-engram) [![20alexl/claude-engram MCP server](https://glama.ai/mcp/servers/20alexl/claude-engram/badges/score.svg)](https://glama.ai/mcp/servers/20alexl/claude-engram) 🐍 🏠 - Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama. - [timmx7/acheron-mcp-server](https://github.com/timmx7/acheron-mcp-server) [![acheron-mcp-server MCP server](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server) 📇 🏠 - Cross-surface persistent memory for Claude. Bridges context between Claude Chat, Code, and Cowork via local SQLite with full-text search. Save decisions, preferences, and insights in one surface, retrieve them in any other. +- [turbyho/mem-context](https://github.com/turbyho/mem-context) 🐍 🏠 🍎 🐧 - Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation. Automatic session capture, deduplication, 6-factor relevance scoring. `pip install mem-context` - [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management. - [Thezenmonster/agentmem](https://github.com/Thezenmonster/agentmem) [![Thezenmonster/agentmem MCP server](https://glama.ai/mcp/servers/Thezenmonster/agentmem/badges/score.svg)](https://glama.ai/mcp/servers/Thezenmonster/agentmem) 🐍 🏠 🍎 🪟 🐧 - Governed memory for coding agents with trust lifecycle (hypothesis → active → validated → deprecated), conflict detection, staleness tracking, and health scoring. SQLite + FTS5, zero infrastructure. `pip install quilmem[mcp]` - [aitytech/agentkits-memory](https://github.com/aitytech/agentkits-memory) [![agentkits-memory MCP server](https://glama.ai/mcp/servers/@aitytech/agentkits-memory/badges/score.svg)](https://glama.ai/mcp/servers/@aitytech/agentkits-memory) 📇 🏠 🍎 🪟 🐧 - Persistent memory for AI coding assistants with hybrid search (FTS5 + vector embeddings), session tracking, automatic context hooks, and web viewer. SQLite-based with no daemon process — works with Claude Code, Cursor, Windsurf, and any MCP client.