
Memory Extension
STDIOMemory extension server for storing and retrieving agent context through semantic search.
Memory extension server for storing and retrieving agent context through semantic search.
An MCP server to extend the context window / memory of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or anything worth remembering. Simply ask the agent to store memories and recall whenever you need or ask the agent to fully manage its memory (through cursor rules for example) however it sees fit.
npm install npm start
store_context_item
- Store a value with key in namespaceretrieve_context_item_by_key
- Get value by keydelete_context_item
- Delete key-value paircreate_namespace
- Create new namespacedelete_namespace
- Delete namespace and all contentslist_namespaces
- List all namespaceslist_context_item_keys
- List keys in a namespaceretrieve_context_items_by_semantic_search
- Find items by meaning# Dev server npm run dev # Format code npm run format
# Path to SQLite database file
DB_PATH=./data/context.db
PORT=3000
# Use HTTP SSE or Stdio
USE_HTTP_SSE=true
# Logging Configuration: debug, info, warn, error
LOG_LEVEL=info
This project includes semantic search capabilities using the E5 embedding model from Hugging Face. This allows you to find context items based on their meaning rather than just exact key matches.
The semantic search feature requires Python dependencies, but these should be automatically installed when you run: npm run start
We use the intfloat/multilingual-e5-large-instruct
Developed mostly while vibe coding, so don't expect much :D. But it works, and I found it helpful so w/e. Feel free to contribute or suggest improvements.