Compatible with every major AI agent and IDE
Create agent on AutoGen
Define a new customized AutoGen agent
Create message on AutoGen
Send a user message to initiate or continue an AutoGen session
Create session on AutoGen
Create a new blank AutoGen session
Delete session on AutoGen
Permanently delete an AutoGen session
List agents on AutoGen
List all configured AutoGen agents available
List messages on AutoGen
Retrieve the message history for a specific AutoGen session
List models on AutoGen
List Large Language Models configured for use in AutoGen
List sessions on AutoGen
List AutoGen Studio conversation sessions
List skills on AutoGen
List Python skill functions available to AutoGen agents
List workflows on AutoGen
List all predefined AutoGen multi-agent workflows
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
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.
Can my AI agent debug a looping multi-agent conversation?
Yes. You can instruct your primary agent to retrieve the message traces for a specific AutoGen session ID. It will instantly unpack the internal LLM-to-LLM conversation, highlighting exactly which secondary agent is looping, throwing errors, or deviating from the constraints without manual log parsing.
AutoGen Capabilities for AI Assistants
Add the AutoGen tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
Intelligent multi agent systems Management
The AutoGen toolkit enables AI agents to execute multi agent systems commands. It handles protocol translation for superpower integrations natively.
AI-Driven workflow automation Workflows
The AutoGen server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute superpower functions.
AutoGen. 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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