Agent skill · AI & Agents

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.

Alex Newman88,857★ · +719/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add thedotmack/claude-mem --skill knowledge-agent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: plugin/skills/knowledge-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 89,517 · +660 this week
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 - `limit` — max observations (default 500) ### Step 2: Prime the corpus ```text prime_corpus name="hooks-expertise" ``` This creates an AI session loaded with all the corpus knowledge. Takes a moment for large c

What's inside
Steps it walks through
  1. What Are Knowledge Agents?
  2. Workflow
  3. Step 1: Build a corpus
  4. Step 2: Prime the corpus
  5. Step 3: Query
  6. Step 4: List corpora
  7. Tips
  8. Maintenance
  9. Rebuild a corpus (refresh with new observations)
  10. Reprime (fresh session)
More from claude-mem
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About this skill
What does the knowledge-agent skill do?

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.

How do I install it?

Run `npx skills add thedotmack/claude-mem --skill knowledge-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From thedotmack/claude-mem, a repository with 89,517 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going