AI & Machine Learning
Agent Memory Discipline
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
- Publisher / source
- davepoon/buildwithclaude (found on GitHub top repositories)
- Upstream record
- davepoon/buildwithclaude
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
c01ed4b91ccbc8a88214ab685d591bf8cad8a89c0c18bae0b433c9216ad5e180