Organize AI memory across sessions with MEMORY.md, Knowledge Graph, and per-session notes.
npx skills add https://github.com/qwexs/engram --skill engram
Please help me install this Agent Skill. Skill: engram Source: https://github.com/qwexs/engram/tree/main Command: npx skills add https://github.com/qwexs/engram --skill engram
Solve the challenge of scalable, durable AI memory by providing a three-layer memory architecture with per-session notes, a Knowledge Graph, and curated long-term memory.
Install QMD, initialize Engram, and add a session to begin using Engram.
High-intent search queries and answers about installing and using this skill.
Persist AI memory across sessions by implementing a three-layer architecture combining MEMORY.md, a knowledge graph, and per-session notes to retain and organize durable knowledge.
Organize a knowledge graph for multi-agent workflows using domain-based subagents with persistent memory, flat three-folder structures, and per-entity summaries to enable scalable entity management.
Memory decay works through rotation mechanisms and heartbeat-driven maintenance that automatically surface durable knowledge over time while deprecating stale, outdated information from the knowledge graph.
Yes, you can use QMD hybrid search to query persistent AI memory by combining BM25, vectors, and reranking to retrieve fast, relevant results across all active memory layers.
Yes, you need QMD installed to initialize the memory architecture and run heartbeat automation, which drives extraction, synthesis, and domain scans to keep knowledge fresh.
smith-hornPersist and organize AI agent memory across sessions with AgentDB.
hffmnnjStore and retrieve persistent information across sessions with memory interfaces.
RobbyMo81Coordinate multi-agent workflows in OpenProse with sessions, imports, and state backends for parallel execution and persistence.
kimasplundConsolidate cross-session memories by detecting patterns, resolving conflicts, and applying temporal decay.
