Use this skill when you need a hybrid memory system that provides persistent, searchable knowledge management for AI agents.
This skill extends your capabilities by providing a persistent, searchable memory bank that automatically syncs with project documentation.
agentMemory is already installed in the project:
ls -la .agentMemory
Install Dependencies:
npm install
Build the Project:
npm run compile
Start the Memory Server: You need to run the MCP server to interact with the memory bank.
npm run start-server <project_id> <absolute_path_to_workspace>
Note: This skill typically runs as a background process or via an mcp-server configuration. ensuring it is running is key.
Once the server is running, you can use these tools:
memory_searchSearch for memories by query, type, or tags.
query (string), type? (string), tags? (string[])memory_search({ query: "authentication", type: "pattern" })
memory_writeRecord new knowledge or decisions.
key (string), type (string), content (string), tags? (string[])memory_write({ key: "auth-v1", type: "decision", content: "..." })
memory_readRetrieve specific memory content by key.
key (string)memory_read({ key: "auth-v1" })
memory_statsView analytics on memory usage.
memory_stats({})
.kilocode/, .clinerules/, or .roo/.