Compatible with every major AI agent and IDE
Cancel run on Lindy (Autonomous AI Employees)
Cancel a running execution dispatching hard stops interrupting trapped context loops
Get lindy on Lindy (Autonomous AI Employees)
Get configuration mappings including standard tools and prompts for a specific Lindy
Get run on Lindy (Autonomous AI Employees)
Get specific state for a Run blocking on Human input or External APIs
Get run logs on Lindy (Autonomous AI Employees)
Dump literal LLM reasoning logs isolating a specific run loop
List integrations on Lindy (Autonomous AI Employees)
List bounded third-party app connections securely connected (e.g Slack, Gmail)
List lindies on Lindy (Autonomous AI Employees)
List all custom autonomous AI Assistants (Lindies) built on the workspace
List runs on Lindy (Autonomous AI Employees)
List recent runs validating the full execution graph isolating active Lindy instances
List triggers on Lindy (Autonomous AI Employees)
List how autonomous AI agents are woken up (Cron, Webhook, API)
List workspaces on Lindy (Autonomous AI Employees)
List all explicit organizational boundaries structuring isolated Teams
Trigger lindy on Lindy (Autonomous AI Employees)
Trigger a Lindy to start an asynchronous task run parsing a JSON payload
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
How do I trigger an autonomous task through a conversation?
The trigger_lindy tool allows you to start an asynchronous task run. You just need to provide the Lindy ID and a JSON payload defining the inputs for the task. Your agent will fire the job and return a Run ID for status tracking.
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 Lindy (Autonomous AI Employees)?
The Lindy (Autonomous AI Employees) integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Next-Gen orchestration Automation
Deploy the Lindy (Autonomous AI Employees) toolkit to manage orchestration. The integration offers robust endpoints for ChatGPT to control superpower settings.
Managing agent management inside Claude
Provide Claude Code and Cursor with read and write access to agent management. The Lindy (Autonomous AI Employees) toolkit handles all necessary routing for superpower integrations.
Lindy (Autonomous AI Employees). 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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