Search a user's persistent memory store within Ei for a specific term.
npx skills add https://github.com/Flare576/ei --skill ei-search
Please help me install this Agent Skill. Skill: ei-search Source: https://github.com/Flare576/ei/tree/main/skills/ei-search Command: npx skills add https://github.com/Flare576/ei --skill ei-search
This Skill helps users search their personal memory store within Ei for specific information during a conversation, allowing them to retrieve detailed records or context that was not already automatically provided.
Run the command ei "query" to search for a term in Ei's memory.
High-intent search queries and answers about installing and using this skill.
You can search your persistent memory store by running the command `ei "query"` to retrieve specific information that was not automatically injected into the current context.
You need to manually retrieve information from your memory context when automatic injection fails to surface specific details or past records required for your current conversation.
The best way to find past details not included in automatic context injection is executing a deliberate search query using the command-line interface to scan your persistent memory.
Yes, you need a command-line interface to execute searches and interpret the results retrieved from your persistent memory store during mid-conversation information retrieval.
Yes, you can use this targeted search to find a specific topic discussed earlier by querying your persistent memory store for exact terms that were not auto-injected.
Automatic context injection does not surface all persistent memory records because it is limited by design, requiring deliberate command-line searches to retrieve deeper or less relevant historical details.
42atomStore, search, and analyze persistent memory entries for AI agents.
23blocks-OSRetrieve prior discussions and decisions via memory-search.sh before starting new tasks.
sigridjinethSaves and manages notes in a persistent notepad file for context.
a-ariffSynchronize task outputs to mem0-memory-mcp and obsidian-memory stores.
