Compatible with every major AI agent and IDE
Add mem to collection on Mem AI (Knowledge Workspace)
Attach live Mems structurally inside explicitly mapped Collections
Create collection on Mem AI (Knowledge Workspace)
Establish new logical thematic groupings mapping notes
Create mem on Mem AI (Knowledge Workspace)
ai. Converts plain textual knowledge to indexed vectors immediately mapped implicitly via AI. Create a new mem (note) in Mem.ai using Markdown
Delete mem on Mem AI (Knowledge Workspace)
No recovery is possible via API. Irreversibly vaporize a mem document globally
Get collection on Mem AI (Knowledge Workspace)
Inspect specific Collection metadata elements
Get mem on Mem AI (Knowledge Workspace)
Retrieve explicit full context metadata by target Mem ID
List collection mems on Mem AI (Knowledge Workspace)
Query ALL explicit Mem bodies inside specific Collections
List collections on Mem AI (Knowledge Workspace)
Query explicitly tracked thematic Collections arrays
List mems on Mem AI (Knowledge Workspace)
Returns identifiers and raw bodies. Careful, this returns heavy payloads. List all raw mems across the global workspace
Mem it on Mem AI (Knowledge Workspace)
Quick capture shortcut generating automated blocks
Search mems on Mem AI (Knowledge Workspace)
AI semantic search looking into all indexed knowledge
Update mem on Mem AI (Knowledge Workspace)
Replaces absolute text values so ensure `get_mem` was run to append rather than destroy inadvertently. Update pre-existing mem content natively swapping strings
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.
What is the 'Mem It' tool used for?
The mem_it tool is a quick capture shortcut. Your agent can use it to instantly log raw thoughts, URLs, or snippets into your workspace with automated formatting, perfect for high-speed idea tracking during your workflow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
Automated Workflows using Mem AI (Knowledge Workspace)
Add the Mem AI (Knowledge Workspace) tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
Next-Gen knowledge base Operations
The Mem AI (Knowledge Workspace) integration allows Cursor and ChatGPT to securely fetch knowledge base data. It handles the API requests required for productivity operations.
The Future of semantic search
The Mem AI (Knowledge Workspace) toolkit provides AI native integration for semantic search. It structures data so Claude Code can accurately process productivity requirements.
Mem AI (Knowledge Workspace). 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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