knowledge-agent
该技能能从历史观察数据中构建并查询AI驱动的知识库,为AI智能体提供定制化的“大脑”。它允许用户根据项目、概念或时间范围筛选信息,快速创建专注于特定主题的知识集合,从而帮助智能体记住用户偏好、理解复杂情境并高效回答关于过去工作模式或专业领域的问题。
npx skills add https://github.com/thedotmack/claude-mem --skill knowledge-agentBefore / After 效果对比
1 组在没有知识代理的情况下,手动筛选大量项目文档和历史观察记录,以收集特定信息或回答复杂问题。这通常需要数小时,且容易遗漏关键细节或获取过时信息。
使用知识代理,通过快速构建一个专注于相关主题的知识库,并进行对话式查询,即时获得精确且上下文感知的答案,大大减少了信息检索的时间和精力。
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
build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500
Filter options:
project— filter by project nametypes— comma-separated: decision, bugfix, feature, refactor, discovery, changeconcepts— comma-separated concept tagsfiles— comma-separated file paths (prefix match)query— semantic search querydateStart/dateEnd— ISO date rangelimit— max observations (default 500)
Step 2: Prime the corpus
prime_corpus name="hooks-expertise"
This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.
Step 3: Query
query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?"
The knowledge agent answers from its corpus. Follow-up questions maintain context.
Step 4: List corpora
list_corpora
Shows all corpora with stats and priming status.
Tips
- Focused corpora work best — "hooks architecture" beats "everything ever"
- Prime once, query many times — the session persists across queries
- Reprime for fresh context — if the conversation drifts, reprime to reset
- Rebuild to update — when new observations are added, rebuild then reprime
Maintenance
Rebuild a corpus (refresh with new observations)
rebuild_corpus name="hooks-expertise"
After rebuilding, reprime to load the updated knowledge:
Reprime (fresh session)
reprime_corpus name="hooks-expertise"
Clears prior Q&A context and reloads the corpus into a new session.
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