From 90cf728748a1f22b35bdb167f782da57df2f64ea Mon Sep 17 00:00:00 2001 From: SAIHM-Admin Date: Tue, 30 Jun 2026 14:08:18 +0000 Subject: [PATCH] Add @saihm/mcp-server to Knowledge & Memory --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index e151a6b22..c43a6a7b3 100644 --- a/README.md +++ b/README.md @@ -2069,6 +2069,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [rushikeshmore/CodeCortex](https://github.com/rushikeshmore/CodeCortex) [![codecortex MCP server](https://glama.ai/mcp/servers/@rushikeshmore/codecortex/badges/score.svg)](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. - [s60yucca/mnemos](https://github.com/s60yucca/mnemos) [![s60yucca/mnemos MCP server](https://glama.ai/mcp/servers/s60yucca/mnemos/badges/score.svg)](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. - [SagaPeak/artifacta-mcp](https://github.com/SagaPeak/artifacta-mcp) [![SagaPeak/artifacta-mcp MCP server](https://glama.ai/mcp/servers/SagaPeak/artifacta-mcp/badges/score.svg)](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`). +- [SAIHM-Admin/saihm-mcp](https://github.com/SAIHM-Admin/saihm-mcp) [![SAIHM-Admin/saihm-mcp MCP server](https://glama.ai/mcp/servers/SAIHM-Admin/saihm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SAIHM-Admin/saihm-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share. Anchored on COTI V2 mainnet. Apache-2.0. Install: `npx -y @saihm/mcp-server`. - [SaravananJaichandar/world-model-mcp](https://github.com/SaravananJaichandar/world-model-mcp) [![SaravananJaichandar/world-model-mcp MCP server](https://glama.ai/mcp/servers/SaravananJaichandar/world-model-mcp/badges/score.svg)](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`. - [sachitrafa/YourMemory](https://github.com/sachitrafa/YourMemory) [![sachitrafa/YourMemory MCP server](https://glama.ai/mcp/servers/sachitrafa/YourMemory/badges/score.svg)](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` - [SecurityRonin/alaya](https://github.com/SecurityRonin/alaya) [![SecurityRonin/alaya MCP server](https://glama.ai/mcp/servers/SecurityRonin/alaya/badges/score.svg)](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`.