Claude-Mem Memory Knowledge Agent

À propos de ce Skill

Build a focused corpus from project observations, prime an AI session, and query that corpus conversationally.

Pourquoi ce choix

A reusable workflow from the Claude-Mem project. It is listed separately to explain this task; shared runtime and helper dependencies remain part of the upstream installation. The inherited gallery demonstrates the memory system, not this task’s specific output.

À quoi il sert

• Compile expertise about one subsystem, recurring issue, or decision theme.

How the workflow runs

1. Step 1

   Build a focused corpus using project, type, concept, path, date, or semantic filters.

2. Step 2

   Prime a session with the selected corpus and ask concrete questions.

3. Step 3

   Rebuild and reprime when the observation history changes.

Original knowledge-agent instructions

Expected result

A named corpus and conversational answers grounded in the selected observations.

Original knowledge-agent instructions

Try a concrete request

1. Example request

   After installing the required integration, ask your agent:

   Build a focused knowledge corpus about authentication decisions and explain our recurring failure patterns.

Avant de l’utiliser

• Claude-Mem corpus tools such as build_corpus, prime_corpus, and query_corpus plus recorded observations.
• Use the original upstream files and follow the documented host integration. Model or third-party service usage can carry separate costs.

Agents compatibles