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Merge pull request #11347 from SAIHM-Admin/add-saihm-mcp-server-pro

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Add @saihm/mcp-server-pro to Knowledge & Memory 🤖🤖🤖
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Frank Fiegel
2026-08-29 07:02:19 -06:00
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@@ -2450,6 +2450,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [seanmarkwei/agentram-mcp](https://github.com/seanmarkwei/agentram-mcp) [![agentram-mcp MCP server](https://glama.ai/mcp/servers/seanmarkwei/agentram-mcp/badges/score.svg)](https://glama.ai/mcp/servers/seanmarkwei/agentram-mcp) 📇 ☁️ - Persistent memory for AI agents through a simple key-value HTTP API. No vector database or embeddings required. Store, retrieve, search, and share memory across agents with shared namespaces and TTL support. `npx -y agentram-mcp` - [seanmarkwei/agentram-mcp](https://github.com/seanmarkwei/agentram-mcp) [![agentram-mcp MCP server](https://glama.ai/mcp/servers/seanmarkwei/agentram-mcp/badges/score.svg)](https://glama.ai/mcp/servers/seanmarkwei/agentram-mcp) 📇 ☁️ - Persistent memory for AI agents through a simple key-value HTTP API. No vector database or embeddings required. Store, retrieve, search, and share memory across agents with shared namespaces and TTL support. `npx -y agentram-mcp`
- [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`). - [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`. - [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`.
- [SAIHM-Admin/saihm-mcp-server-pro](https://github.com/SAIHM-Admin/saihm-mcp-server-pro) [![SAIHM-Admin/saihm-mcp-server-pro MCP server](https://glama.ai/mcp/servers/SAIHM-Admin/saihm-mcp-server-pro/badges/score.svg)](https://glama.ai/mcp/servers/SAIHM-Admin/saihm-mcp-server-pro) 📇 ☁️ 🏠 🍎 🪟 🐧 - Client-side-sealed persistent memory for AI agents. Cells are encrypted in-process before they leave, so the endpoint stores, anchors, and shares over ciphertext and never holds your keys. Post-quantum ML-DSA-65 identity and ML-KEM-768 authenticated sharing; `forget` crypto-shreds the wrapped key for GDPR Art. 17 erasure. Eight MCP tools. Apache-2.0. Install: `npx -y @saihm/mcp-server-pro`.
- [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`. - [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` - [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`
- [Schubeler-Consulting/knowmind](https://github.com/Schubeler-Consulting/knowmind) [![Schubeler-Consulting/knowmind MCP server](https://glama.ai/mcp/servers/Schubeler-Consulting/knowmind/badges/score.svg)](https://glama.ai/mcp/servers/Schubeler-Consulting/knowmind) 📇 ☁️ - AI agent memory and knowledge graph, hosted in Germany (GDPR-compliant). Hybrid recall (BM25 + vector + Neo4j graph hops with cross-encoder rerank), typed relations, and bi-temporal store across sessions via MCP. Works with Claude, ChatGPT, and Cursor. `npx -y knowmind mcp` - [Schubeler-Consulting/knowmind](https://github.com/Schubeler-Consulting/knowmind) [![Schubeler-Consulting/knowmind MCP server](https://glama.ai/mcp/servers/Schubeler-Consulting/knowmind/badges/score.svg)](https://glama.ai/mcp/servers/Schubeler-Consulting/knowmind) 📇 ☁️ - AI agent memory and knowledge graph, hosted in Germany (GDPR-compliant). Hybrid recall (BM25 + vector + Neo4j graph hops with cross-encoder rerank), typed relations, and bi-temporal store across sessions via MCP. Works with Claude, ChatGPT, and Cursor. `npx -y knowmind mcp`