agent-memory

Editorial and source context

What this Skill does

Agent Memory is a source-indexed Agent Skill for business & operations work. Based on the SKILL.md description, it focuses on use when a project's claude.md has grown past what anyone reads and you want the agent to learn durable…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.

Compatibility and requirements

• Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
• Confirm the source repository's tools, SDKs, and platform prerequisites for agent workflows work.

How to install or import it

• Open the linked GitHub SKILL.md and review its scope and setup instructions.
• Install or import the skill using the agent runtime's documented workflow.
• Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

• Review every command, file path, network request, dependency, and credential scope before enabling it.
• GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

• Ask an AI agent to apply Agent Memory to agent workflows work described in the source record.
• Have the agent state assumptions, required tools, and expected output before using this business & operations skill.
• Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.