Skill

/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.

One skill from claude-mem.

shell

$ npx -y skills add thedotmack/claude-mem --skill knowledge-agent --agent claude-code

Installs just this skill. Get the whole plugin for auto-invocation.

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/knowledge-agent

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

Stats

Stars88,332

Forks7,667

LanguageJavaScript

LicenseApache-2.0

Ships with claude-mem

SKILL.md

knowledge-agent.SKILL.md

---
name: knowledge-agent
description: 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.
---

# 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

```text
build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500
```

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