long-term-memoryTyped knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Install via ClawdBot CLI:
clawdbot install kaising-openclaw1/long-term-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Jul 22, 2026
A software development team uses ontology to track tasks, projects, and dependencies. When a manager creates a new task, the system validates assignees, detects blocking relationships, and prevents circular dependencies, ensuring smooth workflow.
An individual uses ontology to manage personal notes, events, and contacts. Querying 'what do I know about X' retrieves all related entities, helping to quickly recall information and see connections between people, projects, and documents.
An event management company uses ontology to link events, locations, attendees, and tasks. Planners can create an event, assign tasks to team members, and track dependencies, all validated against constraints like date ordering and attendee availability.
An AI agent system uses ontology as shared state between skills. An email skill creates a 'Commitment' entity, which is then picked up by a task skill to generate a task, ensuring seamless data flow and action consistency.
A company builds a knowledge graph of employees, projects, and documents using ontology. HR can quickly find who works on what, link documents to projects, and visualize dependencies, aiding in resource allocation and collaboration.
Offer a cloud-based service that provides ontology management for teams, including schema customization, query APIs, and integration with popular project management tools. Revenue from monthly subscription fees based on users or data volume.
Provide consulting services to help businesses design and deploy ontology systems tailored to their workflows. Includes schema design, integration with existing tools, and training. Revenue from project-based fees and ongoing support contracts.
License the ontology engine as a component for other software products, enabling them to add structured memory and knowledge graph capabilities. Revenue from per-instance licensing fees or royalty per product sold.
💬 Integration Tip
When integrating, start by defining core entity types and constraints in a schema file, then append operations to the graph.jsonl file rather than overwriting, to preserve history and avoid data loss.
Scored May 15, 2026
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Turn scattered local sources into a source-constrained evidence notebook for incident, release, and maintainer decisions.
三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括:(1) 滑动窗口式短期记忆,(2) 自动摘要生成中期记忆,(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。
Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files