Enables MCP clients to search, organize, and read preserved article text from a Linkwarden bookmark manager, supporting both read and write operations with safety confirmations.
Intelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.
A local-first persistent memory server for AI coding agents, enabling project context to be shared across different MCP clients. It stores curated memories, task states, decisions, and handoffs as plain files under ~/.agent-memory.
Intercepts Claude conversations via MITM proxy and stores them in Mem0, enabling Claude to search and recall past conversations, learn user preferences, and maintain context across sessions.
A Model Context Protocol server that provides persistent storage, categorization, and retrieval of bookmarks through AI clients like Claude. It allows users to manage web links using custom categories and includes options for local JSON storage or AWS S3 synchronization.
MCP server for Obsidian vaults — multi-brain manager with templates, persistent registry, search, CRUD, frontmatter, wikilinks and context bundling. Works with Hermes Agent and Claude Code simultaneously.
A commit-aware code context manager for LLMs that indexes Git repositories into a multi-tier knowledge hierarchy (repo overviews, file summaries, symbol details) with SQLite vector search, serving context via the Model Context Protocol.
This MCP server provides tools to manage, score, compress, and prune AI agent conversation context, helping keep agents focused and reduce token costs. It is a free, local, pure Python solution for any MCP client.
A visual web interface and MCP server for managing Claude MCP Skills, enabling users to create, edit, browse, and load skill sets through a browser UI or directly from Claude Desktop.