Openloomi Memory
Openloomi Memory tools - search and manage the holistic context (people, projects...
Install
npx skills add melandlabs/openloomi --skill openloomi-memory -g -a claude-code -y- Repository
- melandlabs/openloomi1k
- Category
- Engineering
- Updated
- 1mo ago
- License
- Apache-2.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
openloomi Memory tools - search and manage the holistic context (people, projects, decisions, knowledge base, chat insights). Triggers: memory search, knowledge base, search documents, list insights, who is John, what did we decide about X, tiered memory, knowledge graph, people/projects/decisions, search-all, conversation memory
Note: If you haven't downloaded or installed openloomi yet, please refer to Getting Started for installation instructions.
OpenLoomi Memory Skill
OpenLoomi Memory is the long-lived context layer of OpenLoomi, a tiered, locally-stored knowledge graph that grows on its own from your Connectors, chats, and Screen Capture. Memory is what makes Chat grounded and what Loop reads before it produces a Decision. It is always on your machine (local-first), always visible, and always auditable, see Memory for the full model.
This skill exposes three searchable surfaces over that context:
| Surface | What it is | Where it lives |
|---|---|---|
| Memory files | People, projects, notes, strategy, your hand-edited knowledge graph | ~/.openloomi/data/memory/ |
| Knowledge Base | Documents you uploaded (PDF, DOCX, TXT, MD, slides, sheets, images) chunked + embedded via RAG | openloomi server |
| Insights | AI-extracted records (decisions, action items, preferences, relationships, events) derived from chats and source messages, with usage analytics + automatic maintenance | openloomi server |
Use search-all whenever the user asks a general memory question, it covers all three surfaces in one call.
Overview
Tiered model. OpenLoomi Memory spans four tiers that OpenLoomi reasons across simultaneously:
