mirror of
https://github.com/punkpeye/awesome-mcp-servers.git
synced 2026-07-26 00:51:46 +00:00
Fix entry formatting
This commit is contained in:
@@ -2243,7 +2243,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
|
||||
- [SAIHM-Admin/saihm-mcp](https://github.com/SAIHM-Admin/saihm-mcp) [](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) [](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) [](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) 📇 ☁️ - 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) [](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`
|
||||
- [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`.
|
||||
- [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+.
|
||||
- [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.
|
||||
|
||||
Reference in New Issue
Block a user