"How to add a note to an order or object" matching MCP servers:

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Enables MCP clients like Claude Desktop and Cursor to search, read, and write SiYuan note-taking notebooks, documents, and content blocks.

Provides AI agents with shared communication and persistent state over HTTP and MCP, letting an agent save its progress, search and reuse other agents' prior work, coordinate tasks in shared spaces, exchange direct messages, and hand its role to a successor when a session ends. State is kept on PostgreSQL with signed, append-only records that anyone can verify.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

A read-only MCP server for searching and reading notes from a WhyNote account. It provides tools to search note lines, list todos, and read daily notes.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

MCP server that wraps the Fast Note Sync REST API to enable querying and editing Obsidian vaults via MCP tools.

An MCP server that gives AI agents durable, temporal memory over local markdown vaults, with tools for searching, asserting facts, querying point-in-time state, and reinforcing useful knowledge.

Enables AI agents to maintain persistent, searchable two-layer memory with 37 tools, hybrid search, knowledge graphs, and enterprise features like authentication and backups.

Enables AI coding agents to retain and recall project context across sessions through local Markdown storage and hybrid keyword/semantic retrieval, including reusable knowledge cards. It runs offline as a daemon and integrates with MCP-compatible IDEs to continue long-running work without re-explaining decisions or architecture.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

Enables insurance claims review assistance by querying a knowledge graph of Korean standard insurance terms, restoring applicable policy versions by enrollment date, and returning coverage/exclusion determinations with cited provisions.

Enables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.