Search the ourmem persistent memory store with natural language queries.
npx skills add https://github.com/ourmem/omem --skill memory-recall-ourmem
Please help me install this Agent Skill. Skill: memory-recall Source: https://github.com/ourmem/omem/tree/main/plugins/claude-code/skills/memory-recall Command: npx skills add https://github.com/ourmem/omem --skill memory-recall-ourmem
This Skill eliminates the frustration of AI agents losing important context across sessions, and removes the hassle of manually re-searching for past decisions, discussions, or shared knowledge stored in your ourmem memory system.
Use the memory-recall skill to search your ourmem memory for all past notes about the mobile app authentication flow.
High-intent search queries and answers about installing and using this skill.
To retrieve past context for AI agents across sessions, you can use semantic search queries against a shared persistent memory store. This process returns ranked memories with relevance scores, ensuring agents recall previous decisions and discussions accurately without manual re-searching.
Semantic search for shared persistent memory works by taking natural language queries and matching them against stored histories. It applies relevance scoring to rank the matching memories, allowing AI agents to instantly find relevant past decisions, notes, or shared knowledge across teams.
Yes, you need a valid OMEM API key and a configured API endpoint to search shared AI agent memories. These prerequisites allow the semantic search requests to authenticate and execute successfully against the persistent memory store.
Yes, you can use natural language queries to find past team decisions in a memory store. The semantic search functionality accesses personal, team, or organization spaces to pull relevant shared knowledge and past agent context across different devices.
The best way to recall past technical discussions from previous agent interactions is using a semantic memory search tool. It searches shared persistent memory stores to retrieve exact past approaches, like a coding feature build, and returns them with ranked relevance scores.
dingdyanStore and retrieve agent memories via a local SQLite HTTP API.
synaptiaiRetrieve prior decisions and patterns from session, project, or global memories.
Toperythroblast876Search the ourmem shared memory store for relevant stored memories via semantic search.
kmshihab7878Searches semantic vector memory, structured files, and session logs for relevant context.
