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Add Glama score badge to world-model-mcp entry
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@@ -1686,7 +1686,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API.
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- [rushikeshmore/CodeCortex](https://github.com/rushikeshmore/CodeCortex) [](https://glama.ai/mcp/servers/@rushikeshmore/codecortex) 📇 🏠 🍎 🪟 🐧 - Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex, and any MCP client.
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- [s60yucca/mnemos](https://github.com/s60yucca/mnemos) [](https://glama.ai/mcp/servers/s60yucca/mnemos) 🏎️ 🏠 🍎 🪟 🐧 - Persistent memory engine for AI coding agents. Stores architecture decisions, bug root causes, and project conventions across sessions. Single Go binary with embedded SQLite, FTS5 search, context assembly within token budgets, and autopilot setup for Claude Code, Kiro, and Cursor.
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- [SaravananJaichandar/world-model-mcp](https://github.com/SaravananJaichandar/world-model-mcp) 🐍 🏠 🍎 🪟 🐧 - Temporal knowledge graph for codebases. Captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook. 22 MCP tools, 9 SQLite databases with FTS5, supports Python/TypeScript/JavaScript/Solidity/Go/Rust/Java. Install via `pip install world-model-mcp`.
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- [SaravananJaichandar/world-model-mcp](https://github.com/SaravananJaichandar/world-model-mcp) [](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp) 🐍 🏠 🍎 🪟 🐧 - Temporal knowledge graph for codebases. Captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook. 22 MCP tools, 9 SQLite databases with FTS5, supports Python/TypeScript/JavaScript/Solidity/Go/Rust/Java. Install via `pip install world-model-mcp`.
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- [SecurityRonin/alaya](https://github.com/SecurityRonin/alaya) [](https://glama.ai/mcp/servers/SecurityRonin/alaya) 🦀 🏠 🍎 🪟 🐧 - Neuroscience-inspired memory engine for AI agents. Stores episodes, consolidates knowledge through a Bjork-strength lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools. Install via `npx alaya-mcp`.
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- [SecurityRonin/docx-mcp](https://github.com/SecurityRonin/docx-mcp) [](https://glama.ai/mcp/servers/SecurityRonin/docx-mcp) 🐍 🏠 🍎 🪟 🐧 - Read and edit Word (.docx) documents with track changes, comments, footnotes, and structural validation. The only MCP server combining w:ins/w:del tracked changes, threaded comments, and footnotes with OOXML-level paraId validation and document auditing. 18 tools, Python 3.10+.
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- [sheawinkler/ContextLattice](https://github.com/sheawinkler/ContextLattice) [](https://glama.ai/mcp/servers/sheawinkler/context-lattice) 🏠 🍎 🪟 🐧 🦀 🏎️ - Private-by-default memory and context layer for agents with Go/Rust runtime, staged retrieval across fused data backends, and long-horizon context continuity.
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