Workbuddy Add Memory
为WorkBuddy添加更智能的记忆管理功能:自动知识蒸馏→智能检索→工作前回忆
Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supports memory decay, deduplication, typed memories (5 types), memory relationships (7 graph relation types), agent/user scoping, semantic search, context-aware recall, auto-extraction from text (rules/LLM/hybrid), import/export, REST API, MCP protocol. Solves context window and compaction amnesia. Server at localhost:3400, dashboard at /dashboard. Install via npm (engram-memory), requires Ollama with nomic-embed-text model.
This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.
Install skill "Engram" with this command: npx skills add engram
This source entry does not include full markdown content beyond metadata.
This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.
Related by shared tags or category signals.
为WorkBuddy添加更智能的记忆管理功能:自动知识蒸馏→智能检索→工作前回忆
Agent Memory for Commerce. Build commerce agents that remember customers, maintain transaction state across sessions, and reconcile billing context at scale...
Long-term memory, learning, and self-evolution for the agent. Activates on session start (SOUL.md/USER.md context), after significant decisions, on feedback,...
Ichiro-Mind: The ultimate unified memory system for AI agents. 4-layer architecture (HOT→WARM→COLD→ARCHIVE) with neural graph, vector search, experience lear...