Retrieve and format all markdown files from a specified project directory to provide AI assistants with structured project context for enhanced task understanding and execution.
Generate and execute detailed instructions for updating Memory Bank files, including file roles, update strategies, operation commands, content templates, and priority logic, ensuring immediate implementation of changes.
Set up a memory-bank directory and generate core files for structured project context tracking. Integrates existing project briefs and provides guidance for next steps. Uses a root directory path to initialize or overwrite files as needed.
Store, retrieve, and manage temporary key-value pairs in memory, supporting operations like set, get, delete, search, and clear for efficient data handling.
A Model Context Protocol server that provides knowledge graph-based persistent memory for LLMs, allowing them to store, retrieve, and reason about information across multiple conversations and sessions.
Make it easy for agents to build their context about your projects over time
The server provides a set of tools to help agents accumulate knowledge about a project over time in a structured way.
Provides dynamic short-term and long-term memory management with keyword-based relevance scoring, time-decay models, and trigger-based recall. Optimized for Chinese language support with jieba segmentation.