Skill: Agent Memory Journal#

Manage and retrieve long-term memory using a 3-tier structure (Hot, Warm, Cold).

Primary integration surface: the Python Journal API. The CLI is a convenience layer for shell and cron workflows.

Tools#

• agent-memory-journal note <text>: Add episodic note.
• agent-memory-journal remember <text> --category <cat>: Add core memory.
• agent-memory-journal search --query <q>: Search memory.
• agent-memory-journal forget <id>: Supersede a memory.
• agent-memory-journal ingest: Run promotion and rebuild cycle.

Core Categories#

• decision: Strategic choices.
• constraint: Hard rules or limitations.
• gotcha: Lessons learned or bugs.
• preference: User or agent preferences.
• capability: New skills or tools.

Guidelines#

1. Episodic first: Use note for observations.
2. Explicit curation: Use remember for facts that must persist.
3. Atomic pinning: Use --pinned for items that MUST be in the configured hot file.
4. Verification: Run doctor periodically to ensure integrity.

Agent installation#

See docs/agent_install.md for:

• workspace installation
• CLI symlink setup
• startup contract for agents
• hot promotion target override via .memory/config.json