dr-memory-foundation
Opinionated, file-based memory layout for OpenClaw-style agents: dashboards (now/open-loops/automation), topic files, glossary, and an always-on policy+topic catalog. Use when setting up or reorganizing agent memory, creating a memory folder structure, adding always_on.md, building a topic catalog, or preparing memory files so retrieval+compression pipelines work well.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/daniel-refahi-ikara/dr-memory-foundationDR Memory Foundation
Use this skill to set up a memory layout that is easy to retrieve from, audit, and compress.
Apply to this workspace
When the user asks to apply this skill (for example: Apply dr-memory-foundation to this workspace), do this:
- Inspect the existing workspace memory files.
- Create any missing template files from
references/templates/. - Preserve existing notes; merge or relocate content rather than deleting it.
- Normalize
MEMORY.mdinto preferences + indexes only. - Ensure
memory/always_on.mdcontains a tiny policy header + topic catalog. - Confirm what changed.
This apply flow should be idempotent: if the structure already exists, do not duplicate sections or overwrite user content blindly.
Template layout
MEMORY.md(small): preferences + indexes only.memory/always_on.md: tiny policy header + topic catalog (with keywords).- Dashboards / registries:
memory/now.mdmemory/open-loops.mdmemory/automation.md
- Topics:
memory/topics/glossary.mdmemory/topics/<topic>.md
- Daily logs:
memory/YYYY-MM-DD.md
Apply (safe steps)
- Create the folders/files from
references/templates/. - Move existing knowledge into topic files without deleting source logs.
- Keep
MEMORY.mdas indexes + preferences only. - Update the topic catalog in
memory/always_on.mdas topics evolve.
Templates
Use the files under references/templates/.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-daniel-refahi-ikara-dr-memory-foundation": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
dr-api-execution-bootstrap
Installer/enforcer skill for direct API execution workflows. On activation, it immediately applies a direct-first API execution policy to workspace startup/default files, prefers in-session execution, disables subagent fallback unless explicitly requested, keeps responses concise, and validates the setup. Use when you want an agent to run chained API calls directly and consistently with minimal chatter, or when you want to bootstrap a workspace for fast direct API execution by default.
dr-context-pipeline
Deterministic memory/context pipeline for agents: route a user message, retrieve relevant memory snippets, compress into a cited Context Pack (sources are snippet IDs), lint, and fall back safely. Prerequisite: a file-based memory layout with memory/always_on.md + topic files (works out-of-the-box with dr-memory-foundation). Use when building or standardizing agent memory, reducing prompt bloat, implementing retrieval+compression, creating a context pack, designing a memory pipeline, adding lint gates, or setting up golden regression tests for agent context. After install, users can simply say: Apply dr-context-pipeline as default behavior.