elite-longterm-memory

Keep context, decisions, and lessons across sessions.

agent memory

What it does

Preserves agent context, decisions, preferences, and lessons through layered long-term memory.

When to use it

Use when agent working memory must survive context compaction.

It changes how the agent records, retrieves, curates, and maintains context throughout project sessions.

What you provide

This skill

Mem0

Write

Uploads conversations to Mem0

SuperMemory

Write

Uploads context to SuperMemory

mem0ai

Execute

Installs the Mem0 package

~/.clawdbot/clawdbot.json

Write

Edits your Clawdbot configuration

The Clawdbot configuration requires the memory-lancedb plugin.

The Git-Notes cold-store setup runs its memory script with Python 3.

The cold-store initialization invokes git-notes-memory's memory.py script.

Semantic memory search requires an OpenAI API key from the environment.