Add basicmachines-co/basic-memory to Knowledge & Memory

README.md

@@ -1767,6 +1767,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [AntonioTF5/soul-mcp-server](https://github.com/AntonioTF5/soul-mcp-server) [![soul-mcp-server MCP server](https://glama.ai/mcp/servers/AntonioTF5/soul-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/AntonioTF5/soul-mcp-server) 📇 🏠 🍎 🪟 🐧 - Validate and generate SOUL.md agent identity files from Claude Desktop. SOUL.md is the open format for persistent AI agent identity — personality, voice, values, and behavioral constraints in a machine-readable YAML file.
 - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
 - [ayushagrawal288/memex](https://github.com/ayushagrawal288/memex) [![ayushagrawal288/memex MCP server](https://glama.ai/mcp/servers/ayushagrawal288/memex/badges/score.svg)](https://glama.ai/mcp/servers/ayushagrawal288/memex) 🐍 🏠 - Production-grade persistent memory service for AI agents. Semantic search with recency decay (configurable α blend), local ONNX embeddings (zero API cost), background memory summarisation, and Prometheus/Grafana observability. `docker compose up` — no cloud dependencies.
+- [basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) [![basic-memory MCP server](https://glama.ai/mcp/servers/@basicmachines-co/basic-memory/badges/score.svg)](https://glama.ai/mcp/servers/@basicmachines-co/basic-memory) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.
 - [Battam1111/Myco](https://github.com/Battam1111/Myco) [![Battam1111/Myco MCP server](https://glama.ai/mcp/servers/Battam1111/Myco/badges/score.svg)](https://glama.ai/mcp/servers/Battam1111/Myco) 🐍 🏠 🍎 🪟 🐧 - Agent-first cognitive substrate with 18 manifest-driven verbs (germinate / eat / assimilate / sporulate / traverse / immune / molt / …) and 25 lint dimensions enforcing contract invariants mechanically (R1–R7). Cross-session / cross-project memory via a self-validating filesystem graph — AST + markdown-link derived, not embedding-based. Provider-agnostic by design: MP1/MP2 dims forbid LLM-SDK imports in the kernel and plugin tree. Editable-default install. Works with Claude Code, Cursor, Windsurf, Zed, VS Code, and any MCP client.
 - [bitatlas-group/bitatlas](https://github.com/bitatlas-group/bitatlas) [![bitatlas MCP server](https://glama.ai/mcp/servers/bitatlas-group/bitatlas/badges/score.svg)](https://glama.ai/mcp/servers/bitatlas-group/bitatlas) 📇 ☁️ - Zero-Knowledge Cloud Drive for Humans and Agents. Client-side AES-256-GCM encryption with 7 MCP tools for encrypted file vault management — upload, download, search, and organize files that the server never sees in plaintext.
 - [besslframework-stack/project-tessera](https://github.com/besslframework-stack/project-tessera) [![project-tessera MCP server](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera/badges/score.svg)](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera) 🐍 🏠 🍎 🪟 🐧 - Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.