Compatible with every major AI agent and IDE
Add tag on Capacities
Add a structural categorical Tag linking explicitly dynamically grouping related Graph items via relations
Create object on Capacities
Create a new typed object in a Capacities space bounded by specific graph rules instantiating entities
Get object on Capacities
Retrieve a specific full explicit object by ID accessing its root graph data traversing properties internally
Get space info on Capacities
Retrieve detailed information about a Capacities space including all object types (structures), their property definitions, and configuration
Get structures on Capacities
Get all object type definitions (structures) within a Capacities space exposing exact metadata parameters limitlessly
List spaces on Capacities
List all personal spaces in the Capacities account. Spaces are top-level containers for organizing objects, notes, and knowledge
Lookup on Capacities
Search for content across a specific Capacities space by title or explicit keywords tracking exact nodes
Save media on Capacities
Locate and attach an explicit Media payload explicitly binding it directly onto existing specific record scopes
Save to daily note on Capacities
Append strict Markdown textual payloads to the dynamically mapped daily note explicitly linking content blocks
Save weblink on Capacities
Save a web URL as a Weblink object dynamically tracking automatic preview generation natively
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can my AI agent automatically funnel research links into my Capacities daily note?
Yes. It can append raw Markdown to your Daily Note dynamically, or use the dedicated WebLink endpoint to natively scrape and save beautifully previewed URLs into your specified space. This gives you a fast workflow for daily link-hoarding right from your chat tools.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Capacities?
The Capacities integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Seamless knowledge graph Integration
Use Capacities to interface with knowledge graph via natural language. The toolkit provides Cursor with LLM-friendly schemas for productivity tasks.
Cursor Copilot for object oriented
Use the Capacities server to execute object oriented operations from your AI agent. The protocol manages state and authentication for continuous productivity workflows.
Capacities. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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