Search entities and observations in a membrain knowledge graph.
npx skills add https://github.com/harnessprotocol/harness-kit --skill memory-harnessprotocol
Please help me install this Agent Skill. Skill: memory Source: https://github.com/harnessprotocol/harness-kit/tree/main/plugins/membrain/skills/memory Command: npx skills add https://github.com/harnessprotocol/harness-kit --skill memory-harnessprotocol
It helps you retrieve and manage knowledge that’s scattered across sessions by letting you search, trace connections, and add new observations to your membrain knowledge graph.
Ask for a grounded result by saying: /memory search authentication
High-intent search queries and answers about installing and using this skill.
You can search a knowledge graph in Claude Code by using the memory search command to find relevant entities and their observations, grounding your current work in prior context. This allows fast recall of scattered session data.
BFS traversal in a memory graph runs breadth-first searches to trace how concepts connect, revealing information paths and relationships between entities. This explains relationship discovery across your stored observations.
You need membrain MCP tools for search, add, and episode operations. Optionally, you can run the local HTTP server on localhost:3131 for trace and status operations, but core search works without it.
You can add new observations and capture episodes through knowledge growth workflows, incrementally updating your memory graph. This keeps your stored context current without requiring manual restructuring of existing entities.
Yes, the Skill retrieves and manages knowledge scattered across sessions by searching entities and their observations in a membrain knowledge graph. It is designed for interactive CLI-based memory workflows.
Running BFS traversals is the best way to trace concept connections in a knowledge graph, allowing you to understand how concepts connect and identify what information paths matter for your current context.
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