ontology-1Typed 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 tonydesign1999/ontology-1Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
Teams can use the ontology to track projects, tasks, and assignees, ensuring all work items are linked and dependencies are visible. This helps in planning sprints, identifying blockers, and maintaining a structured memory of project history.
Individuals can create entities for notes, documents, and events, linking related information to build a personal knowledge graph. This enables quick retrieval of information, such as finding all tasks related to a project or notes from a meeting.
Small businesses can model customers as Person entities, link them to interactions like Messages or Events, and track follow-up tasks. This provides a structured way to manage client relationships without complex CRM software.
Event organizers can create Event entities with attendees, link them to tasks like preparation and follow-up, and manage dependencies between activities. This ensures all aspects of an event are tracked and validated against constraints.
Integrate the ontology with other skills, such as email or calendar tools, to automatically create tasks from commitments or log actions. This enables seamless data sharing and automated planning across different agent functions.
Offer a cloud-based platform where teams can use the ontology for project tracking and knowledge sharing, with features like real-time updates and API access. Revenue comes from subscription tiers based on user count and storage.
Provide services to businesses for integrating the ontology into their existing workflows, such as CRM systems or internal tools, with custom schema design and training. Revenue is generated through project-based contracts and ongoing support.
Release the core ontology system as open-source to build a community, while offering premium features like advanced analytics, enterprise support, or hosted solutions. Revenue streams include paid licenses and support packages.
💬 Integration Tip
Start by defining a simple schema with core types like Task and Person, then gradually add constraints and relations as needed to avoid complexity early on.
Scored Apr 19, 2026
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.