Merge pull request #14108 from kunickiaj/add-codemem-knowledge-memory

Add kunickiaj/codemem to Knowledge & Memory

README.md

@@ -2769,6 +2769,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [khwanlabs/khwan-mcp](https://github.com/khwanlabs/khwan-mcp) [![khwanlabs/khwan-mcp MCP server](https://glama.ai/mcp/servers/khwanlabs/khwan-mcp/badges/score.svg)](https://glama.ai/mcp/servers/khwanlabs/khwan-mcp) 🐍 ☁️ 🍎 🪟 🐧 - Durable memory for coding agents, built around corrections. Captures the moment you correct the agent as a typed event and distils it overnight into a standing rule the next session starts with, rather than only extracting facts. An isolated brain per project instead of one blended profile. Recall and record make no model calls — your client is the model. `pip install khwan-mcp`
 - [krimto-labs/krimto](https://github.com/krimto-labs/krimto) [![krimto-labs/krimto MCP server](https://glama.ai/mcp/servers/krimto-labs/krimto/badges/score.svg)](https://glama.ai/mcp/servers/krimto-labs/krimto) 📇 🏠 - Open-source team memory layer for AI coding agents. Markdown files in git as storage, a user→team→org hierarchy as the access primitive, and one cross-vendor MCP server (Claude Code, Cursor, Codex, Gemini CLI). Hybrid SQLite + sqlite-vec retrieval. Apache-2.0.
 - [Krzysztof318/MailFathom](https://github.com/Krzysztof318/MailFathom) [![Krzysztof318/MailFathom MCP server](https://glama.ai/mcp/servers/Krzysztof318/MailFathom/badges/score.svg)](https://glama.ai/mcp/servers/Krzysztof318/MailFathom) #️ 🏠 🐧 - Security-first, self-hosted AI brain for email. Synchronizes IMAP mailboxes into user-owned PostgreSQL and exposes tools for listing, searching, reading, and cited questions across the archive. Supports local chat and embedding models through OpenAI-compatible endpoints; each deployment exposes its own Streamable HTTP `/mcp` endpoint.
+- [kunickiaj/codemem](https://github.com/kunickiaj/codemem) 📇 🏠 - Persistent coding memory across sessions, machines, and teammates. Provides MCP tools for searching and managing memories, optional cross-machine sync, and project sharing. OpenCode, Claude Code, and Codex integrations add automatic capture and context injection. [![codemem on Glama](https://glama.ai/mcp/servers/kunickiaj/codemem/badges/score.svg)](https://glama.ai/mcp/servers/kunickiaj/codemem)
 - [kunwar-shah/claudex](https://github.com/kunwar-shah/claudex) [![kunwar-shah/claudex MCP server](https://glama.ai/mcp/servers/kunwar-shah/claudex/badges/score.svg)](https://glama.ai/mcp/servers/kunwar-shah/claudex) 📇 🏠 🍎 🪟 🐧 - Persistent memory + FTS5 full-text search for Claude Code conversation history. Indexes `~/.claude/projects/` JSONL into SQLite, exposes 10 MCP tools (store/recall/search memories, list sessions, get summaries) plus prompts. Includes a web UI for visual exploration with themes and exports. Works with Claude Code, Cursor, Codex, Windsurf, and any MCP-compatible client. `npm install -g @kunwarshah/claudex`
 - [renezander030/agentic-task-system](https://github.com/renezander030/agentic-task-system) [![renezander030/agentic-task-system MCP server](https://glama.ai/mcp/servers/renezander030/agentic-task-system/badges/score.svg)](https://glama.ai/mcp/servers/renezander030/agentic-task-system) 📇 🏠 - Turns your task manager into agent memory: hybrid (dense + sparse + keyword, RRF) retrieval over TickTick or an Obsidian vault via a six-method adapter contract. MCP server + CLI, no vector DB to build or maintain. `npm i -g @reneza/ats-cli`
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