fox-ontologyTyped 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 tihuaqin-commits/fox-ontologyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 11, 2026
Use the ontology to manage projects and tasks with typed entities and relation constraints. Enforce acyclic dependency validation to prevent circular blockers, and query dependency graphs to identify critical path items.
Create a personal knowledge base by storing people, documents, notes, and events as typed entities. Link related items (e.g., note references, event attendees) and query across types to recall information like 'What tasks did Alice assign me last week?'.
Model multi-step event planning as graph transformations: create an event entity, link attendees and related projects, then generate follow-up tasks with dependencies. Validate constraints to ensure all required fields are present before execution.
Enable multiple skills (e.g., email, task management) to share state via the ontology. The email skill creates commitments, which are then picked up by the task skill to create tasks, all with consistent typing and validation.
Offer a managed ontology system where companies pay per entity/data volume. Includes schema validation, query APIs, and integration with existing tools like project management suites.
License the ontology engine to software vendors who embed it in their products (e.g., CRM, ERP) to provide structured memory and cross-module data sharing. Charge per deployment or usage.
Provide consulting services to design custom ontologies for enterprise clients, including schema definition, integration with existing data sources, and training. Charge per project.
💬 Integration Tip
Start with the JSONL storage backend for simple cases, then migrate to SQLite for complex graphs. Use the schema append-only rule to avoid overwriting existing constraints.
Scored May 11, 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