Invoke - Integrated operating platform for AI Agents
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Give your AI agents the tools to get real work done.
Connect your existing agents to the tools and workflows your team uses. Invoke manages permissions, approval gates, and execution tracking, so you can control what agents do across your systems without replacing your existing stack.

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Hey everyone! I'm Joel, the maker of Invoke.
I started building Invoke after digging into a problem with AI agents: getting an agent to call a tool is relatively easy, but making sure that action is authorized, executed reliably, and properly accounted for is much harder.
A successful API response doesn't always mean the intended action happened. Timeouts, duplicate requests, permission issues, and ambiguous outcomes can make agent-driven workflows difficult to trust.
Invoke is our attempt to build the execution layer for AI agents. It lets developers connect their existing agents and route tool execution through a centralized layer without having to replace their existing stack.
We're still early, and there's a lot to learn.
I'd especially love feedback on three things:
How are you currently managing tool execution for your AI agents?
What's the biggest reliability or security issue you've encountered?
Would you use a dedicated execution layer like Invoke, or would you rather build this infrastructure yourself?
Thanks for checking it out. I'm here to answer questions and learn from your feedback!