Store and recall persistent semantic memories for AI agents across sessions.
npx skills add https://github.com/EngramMemory/engram-memory --skill engram-engrammemory
Please help me install this Agent Skill. Skill: engram Source: https://github.com/EngramMemory/engram-memory/tree/main Command: npx skills add https://github.com/EngramMemory/engram-memory --skill engram-engrammemory
Engram provides persistent semantic memory for AI agents, enabling them to remember preferences, facts, and past decisions across sessions and to recall relevant context automatically.
Install Engram, deploy the all-in-one container, then store a memory and search memories.
High-intent search queries and answers about installing and using this skill.
Persistent semantic memory for MCP-based AI agents is added by deploying a local memory store that captures conversation context and injects relevant memories into future sessions automatically. Engram provides this using local Qdrant storage and FastEmbed embeddings.
Yes, semantic memory for AI agents works with local Qdrant storage to keep memories on-device. It uses FastEmbed embeddings and a three-tier recall pipeline consisting of a hot cache, multi-head hash index, and vector search for fast retrieval.
The best way to recall past context across agent sessions is a three-tier recall pipeline combining a hot cache, multi-head hash index, and vector search. This approach retrieves relevant semantic memories fast and accurately without relying solely on linear history.
Yes, auto-recall and auto-capture can inject memories into AI conversations by automatically storing important details after interactions and fetching relevant context before the next response. This keeps agent context continuously updated across sessions.
To deploy a self-hosted memory store for AI agents, install the memory package and run an all-in-one container. This sets up local Qdrant storage with FastEmbed embeddings, allowing you to store and search memories immediately.
No, you do not need an internet connection to maintain local semantic memories for OpenClaw. Memories stay on-device using local Qdrant storage, with optional Engram Cloud integration available only for overflow and analytics.
mindmorassStore and retrieve documents in Qdrant for semantic search.
Toperythroblast876Search the ourmem shared memory store for relevant stored memories via semantic search.
LinXueyuanStdioRun non-interactive agent conversations with configured memory and session persistence.
winsorllcStore and retrieve semantic memories using OpenAI embeddings in a local JSON file.
