knowledge-agent
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Install
git clone https://github.com/thedotmack/claude-mem /tmp/claude-mem && ln -s /tmp/claude-mem/plugin/skills/knowledge-agent ~/.claude/skills/knowledge-agentFrom README
Knowledge Agent Build and query AI-powered knowledge bases from claude-mem observations. What Are Knowledge Agents? Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally. Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service". Workflow Step 1: Build a corpus Filter options: project — filter by project name types — comma-separated: decision, bugfix, feature, refactor, discovery, change concepts — comma-separated concept tags files — comma-separated file paths (prefix match) query — semantic search query dateStart / dateEnd — ISO date range limit — max observations (default 500) Step 2: Prime the corpus This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.