Official Claude-Mem demonstration: a coding session beside a browser showing persistent observations.
Project screenshotsAbout this Skill
Build a focused corpus from project observations, prime an AI session, and query that corpus conversationally.
Why we picked it
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.
What it helps with
- Compile expertise about one subsystem, recurring issue, or decision theme.
How the workflow runs
Step 1
Build a focused corpus using project, type, concept, path, date, or semantic filters.
Step 2
Prime a session with the selected corpus and ask concrete questions.
Step 3
Rebuild and reprime when the observation history changes.
Expected result
A named corpus and conversational answers grounded in the selected observations.
Try a concrete request
Example request
After installing the required integration, ask your agent:
Build a focused knowledge corpus about authentication decisions and explain our recurring failure patterns.
Before you use it
- 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.
Supported agents
Sources & references
Original sources are linked below. Practical starting points are editorial suggestions from SkillHey.
