From b8edb268fd69fc09005ea3c096058d69f94b174a Mon Sep 17 00:00:00 2001 From: Frank Fiegel Date: Tue, 28 Jul 2026 23:19:33 -0400 Subject: [PATCH] Fix entry formatting --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 05dba92db..b1e9d1baf 100644 --- a/README.md +++ b/README.md @@ -2305,7 +2305,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [lyonzin/knowledge-rag](https://github.com/lyonzin/knowledge-rag) [![lyonzin/knowledge-rag MCP server](https://glama.ai/mcp/servers/lyonzin/knowledge-rag/badges/score.svg)](https://glama.ai/mcp/servers/lyonzin/knowledge-rag) 🐍 🏠 🍎 🪟 🐧 - Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 28 MCP tools. Runs entirely offline with zero external servers. - [markmhendrickson/neotoma](https://github.com/markmhendrickson/neotoma) [![Neotoma MCP server](https://glama.ai/mcp/servers/markmhendrickson/neotoma/badges/score.svg)](https://glama.ai/mcp/servers/markmhendrickson/neotoma) 📇 🏠 🍎 🪟 🐧 - Deterministic state layer for AI agents. Stores versioned entities (contacts, tasks, transactions, decisions) with immutable observations, full provenance, and schema-first extraction. Local-first SQLite, cross-client memory across Claude, Cursor, ChatGPT, and OpenClaw. [Website](https://neotoma.io) - [mattjoyce/mcp-persona-sessions](https://github.com/mattjoyce/mcp-persona-sessions) 🐍 🏠 - Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations. Built-in timer management and performance evaluation tools. -- [max-ramas/rms-memory-mcp](https://github.com/max-ramas/rms-memory-mcp) [![rms-memory-mcp MCP server](https://glama.ai/mcp/servers/max-ramas/rms-memory-mcp/badges/card.svg)](https://glama.ai/mcp/servers/max-ramas/rms-memory-mcp) 🦀 🏠 🍎 🐧 🪟 - Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence. +- [max-ramas/rms-memory-mcp](https://github.com/max-ramas/rms-memory-mcp) [![max-ramas/rms-memory-mcp MCP server](https://glama.ai/mcp/servers/max-ramas/rms-memory-mcp/badges/score.svg)](https://glama.ai/mcp/servers/max-ramas/rms-memory-mcp) 🦀 🏠 🍎 🐧 🪟 - Local-first persistent memory for AI coding agents. Hybrid vector + full-text search (LanceDB + Tantivy), separate Markdown and Tree-sitter code indexes, per-project isolated vaults shared across IDEs (Cursor, Zed, Claude Code, Codex), bounded recall with abstain-on-low-confidence. - [maxkuminov/obsidian-mcp](https://github.com/maxkuminov/obsidian-mcp) [![obsidian-mcp MCP server](https://glama.ai/mcp/servers/maxkuminov/obsidian-mcp/badges/score.svg)](https://glama.ai/mcp/servers/maxkuminov/obsidian-mcp) 🐍 🏠 🍎 🪟 🐧 - Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide. - [mcasdfgf/mcp-roo-memory](https://github.com/mcasdfgf/mcp-roo-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent fractal graph memory for AI coding agents via MCP. Semantic vector search, hot/cold/archive context tiers, decision tracking, and Docker-based deployment with Qdrant. - [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf