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Add Glama score badge to artifacta-mcp entry
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Jonhnson Nakano
@@ -1942,7 +1942,7 @@ 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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- [SagaPeak/artifacta-mcp](https://github.com/SagaPeak/artifacta-mcp) 🎖️ 📇 🐍 ☁️ 🍎 🪟 🐧 - The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, expiring share links; 11 tools with path-confined uploads and destructive actions gated by default. TypeScript (`npx @artifacta-mcp/mcp`) and Python (`pipx run artifacta-mcp`).
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- [SagaPeak/artifacta-mcp](https://github.com/SagaPeak/artifacta-mcp) [](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp) 🎖️ 📇 🐍 ☁️ 🍎 🪟 🐧 - The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, expiring share links; 11 tools with path-confined uploads and destructive actions gated by default. TypeScript (`npx @artifacta-mcp/mcp`) and Python (`pipx run artifacta-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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- [sachitrafa/YourMemory](https://github.com/sachitrafa/YourMemory) [](https://glama.ai/mcp/servers/sachitrafa/YourMemory) 🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI agents with Ebbinghaus forgetting-curve decay, hybrid BM25+vector retrieval, and entity graph for multi-hop reasoning. Memories auto-prune by importance and recall rate. Built-in browser dashboard, multi-agent support, and `yourmemory ask` for zero-API-call local queries. `pip install yourmemory`
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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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