Store persistent shared memory across AI agent sessions and teams.
npx skills add https://github.com/ourmem/omem --skill ourmem-ourmem
Please help me install this Agent Skill. Skill: ourmem Source: https://github.com/ourmem/omem/tree/main/skills/ourmem Command: npx skills add https://github.com/ourmem/omem --skill ourmem-ourmem
AI agents lose all context between sessions, cannot share knowledge across devices or team members, and require repeated context gathering for every new task, leading to wasted effort and no collective intelligence.
Use the ourmem skill to store your project's coding standards and user preferences so all your team's AI agents remember them across every session.
High-intent search queries and answers about installing and using this skill.
To give an AI agent persistent memory across sessions, you need a shared memory storage layer that retains context between restarts. This skill eliminates session amnesia by saving user preferences and project context so agents remember prior interactions automatically.
The best way to share knowledge across multiple AI agents is using team Spaces with role-based access control. This enables secure, collective intelligence by allowing multiple team members and agents to access and contribute to shared project context and decisions.
Yes, AI agents can automatically extract and manage facts from conversations using smart memory management. This process extracts atomic facts, reconciles duplicates or contradictions, and applies memory decay to ensure long-term knowledge retention without manual cleanup.
Hybrid vector and keyword search for agent memory works by combining semantic similarity matching with exact term retrieval. This allows agents to efficiently query stored facts, project context, and user preferences across large persistent memory stores.
You need space-based access control for team AI memory sharing when multiple agents or members require secure, segregated knowledge domains. It ensures only authorized personnel retrieve organizational context, preventing unauthorized access to sensitive project decisions.
To stop a coding agent from forgetting architecture decisions, store them in a shared memory Space. This provides cross-session persistent memory, ensuring all team agents retain consistent context regarding coding standards without manual re-explanation.
winsorllcStore and retrieve agent memory using vector embeddings and keyword search in SQLite.
ArvincreatorOrchestrate predefined AI agent teams for structured multi-round discussions.
mtsatryanCoordinate multi-agent problem solving with a shared blackboard knowledge space.
ehfazrezwanExtract and persist session facts and decisions to structured memory.
