← ClaudeAtlas

openloomi-memorylisted

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
melandlabs/plugins · ★ 1 · AI & Automation · score 77
Install: claude install-skill melandlabs/plugins
> **Note:** If you haven't downloaded or installed openloomi yet, please refer to [Getting Started](https://openloomi.ai/docs/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](https://openloomi.ai/docs/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: - **Raw information** — original messages, files, transcripts syn