Store and retrieve persistent memory via REST API endpoints.
npx skills add https://github.com/Toperythroblast876/omem --skill ourmem
Please help me install this Agent Skill. Skill: ourmem Source: https://github.com/Toperythroblast876/omem/tree/main/skills/ourmem Command: npx skills add https://github.com/Toperythroblast876/omem --skill ourmem
AI agents lose all learned context, user preferences, and project information between sessions, and sharing knowledge across multiple agents or team members requires manual, error-prone setup that breaks down as teams and tools scale.
Use the ourmem skill to save your team's shared coding standards to persistent memory so all your AI agents can access them in future tasks.
High-intent search queries and answers about installing and using this skill.
Persistent cross-session memory stores user preferences and project context via REST API endpoints, ensuring no information is lost between interactions. It supports both hosted cloud and self-hosted deployment for retaining learned data.
Shared team spaces enable collective intelligence by letting multiple agents and users access the same memory stores. This space-based sharing supports team knowledge bases and cross-agent collaboration without manual setup.
You can search saved agent memory using hybrid vector-keyword search provided by REST API endpoints. This combines semantic vector search with keyword matching to retrieve relevant stored context efficiently across shared spaces.
Yes, the agent memory system supports both hosted cloud and self-hosted deployment. It provides REST API endpoints for memory storage, batch import, and usage tracking, ensuring full functionality regardless of your deployment environment.
Smart memory management automatically extracts structured facts from conversations and filters low-value noise. It provides analytics on memory usage, decay, and sharing flows to keep memory stores clean and useful for agents.
The best way to share coding standards is saving them to shared organization memory spaces. This eliminates re-explaining project context, allowing all team AI agents to access persistent architecture decisions and standards in future tasks.
paarths-collabConnect Mem0 persistent memory to a self-hosted Hermes agent over SSH.
DicklesworthstoneConsolidate coding sessions into a persistent cross-agent memory store.
ourmemStore persistent shared memory across AI agent sessions and teams.
bmsull560Integrate vector-based memory with knowledge graphs for multi-session conversation context.
