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@clawhub_dannydvm/engram

By dannydvm

About this Skill

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.

上下文管理记忆增强工具调用#ai-agent#local-first#memory#semantic-search

Skill files and instructions

Read SKILL.md and the other instructions or configuration files published with this Skill.

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Details

Category
AI Agent
Source
clawhub
Version
0.2.1
Updated
Sep 24, 2026
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