Store and retrieve user preferences and conversation context with semantic search.
npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill mem0-xianmingyao
Please help me install this Agent Skill. Skill: mem0 Source: https://github.com/xianmingyao/openclaw-CaySon/tree/main/skills/mem0 Command: npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill mem0-xianmingyao
Mem0 provides an intelligent memory layer for Clawdbot that learns and recalls user preferences, patterns, and context across conversations, enabling more personalized and coherent interactions.
Tell Mem0 to remember that Abhay prefers concise updates so future responses are tailored.
High-intent search queries and answers about installing and using this skill.
A memory layer stores and retrieves user preferences across conversations using per-user semantic search. It supports explicit remember requests and automatic learning, enabling context-aware personalized responses without manual context passing.
Yes, mem0ai supports local vector storage for bot memory. It performs semantic search and deduplication locally, while also offering optional local Ollama configurations for managing embeddings and OpenAI integration.
You save conversational context automatically by enabling automatic learning within the memory layer. It extracts and updates user patterns from ongoing chats, storing them in a per-user adaptive context for future retrieval.
Yes, you can use Ollama instead of OpenAI for conversation memory processing. The Skill includes optional local Ollama configurations alongside OpenAI integration, allowing you to manage memory storage and embeddings locally.
The best way to deduplicate memories in a per-user memory store is using a memory layer with built-in deduplication. This Skill automatically identifies and removes redundant context during semantic search and storage via mem0ai.
nigo81Build a local vector knowledge base with semantic search and reranking.
dawsonblockSearch OpenViking context across memories, skills, and resources using the ov CLI.
arunrlvermaStore and retrieve AI agent facts, decisions, and preferences in a cloud JSON file.
handsomelong922Store and retrieve embeddings with metadata using a vector database.
