Store, search, and manage persistent AI agent memories across sessions.
npx skills add https://github.com/DNG-ai/agent-memory --skill agent-memory-dng-ai
Please help me install this Agent Skill. Skill: agent-memory Source: https://github.com/DNG-ai/agent-memory/tree/main/integrations/claude-code/skills/agent-memory Command: npx skills add https://github.com/DNG-ai/agent-memory --skill agent-memory-dng-ai
Long-term memory storage for AI agents enables saving, indexing, and retrieving memories across sessions to inform decisions, goals, and actions without re-deriving context.
Load the agent-memory skill and begin saving and retrieving memories from your AI agent workflow.
High-intent search queries and answers about installing and using this skill.
Long-term memory for AI agents is added by saving decisions, notes, and context to a persistent store. This skill provides a CLI workflow to store, search, and manage memories for reuse in future sessions.
Yes, semantic search and retrieval allows you to quickly locate persistent memories by meaning rather than exact keywords. This helps agents find relevant context without relying on specific phrasing.
You can manage AI agent memory across project, group, and global scopes using a multi-scope lifecycle. This supports organizing context and applying startup workflows specific to each scope level.
Yes, the agent-memory CLI must be installed and accessible in your environment. The skill expects this CLI-based workflow to be available to save, pin, group, and query memories.
Pinning and grouping memories is the best way to organize critical items for team collaboration. This allows you to highlight essential context and categorize related memories for easier retrieval.
AI agents lose context because they lack persistent memory storage by default. Implementing long-term memory storage enables indexing and retrieving memories across sessions to inform future decisions without re-deriving context.
DevMHOneManage Omni Skills, plugins, and persistent memory from the CLI.
ncz-osStore and retrieve persistent memories across agent sessions via API.
jonnabioOrchestrates multi-agent AI workflows with role-based collaboration and memory.
Human-Frontier-Labs-IncEnable semantic vector search over embedded documents with HNSW indexing.
