1/ The Super Computer for AI Agents has arrived. Introducing the Agent Virtual Machine (AVM).
📌 Monday, June 9th, we launch AVM.
2/ Currently, AI agents struggle because,
✅ Agents lack quality cross-communication, with no standard runtime across models or providers
✅ General security risks limit AI code to run only in centralized environments and lack validation
✅ Infrastructure overhead limits scalability and pushes out many individuals with great ideas
AVM has designed a layer to allow developers and enthusiasts to rise above these caveats, granting agents to execute in the real world.
3/ AVM's Execution Layer
We've designed a standardized interface for agents that solve these problems, working out-of-the-box with any MCP-compatible model such as ChatGPT, Claude, and more.
This allows developers to integrate in minutes, all with a flexible pricing model for every team's needs, accepting fiat or crypto.
As an added bonus when deploying with AVM, agents themselves become auditable with verifiable output, granting agents to communicate confidently at scale.
📌 Monday, June 9th, we launch AVM.
2/ Currently, AI agents struggle because,
✅ Agents lack quality cross-communication, with no standard runtime across models or providers
✅ General security risks limit AI code to run only in centralized environments and lack validation
✅ Infrastructure overhead limits scalability and pushes out many individuals with great ideas
AVM has designed a layer to allow developers and enthusiasts to rise above these caveats, granting agents to execute in the real world.
3/ AVM's Execution Layer
We've designed a standardized interface for agents that solve these problems, working out-of-the-box with any MCP-compatible model such as ChatGPT, Claude, and more.
This allows developers to integrate in minutes, all with a flexible pricing model for every team's needs, accepting fiat or crypto.
As an added bonus when deploying with AVM, agents themselves become auditable with verifiable output, granting agents to communicate confidently at scale.
4/ How does it work?
✅ In plain language, you dictate the task at hand
✅ Your agent writes the code and deploys to our MCP handler
✅ Code is run in AVM's sandboxed container
✅ Returns output (and/or errors), as well as relevant exit metadata
✅Agent recursively improves
Goodbye tedious devops and cobbled code.
✅ In plain language, you dictate the task at hand
✅ Your agent writes the code and deploys to our MCP handler
✅ Code is run in AVM's sandboxed container
✅ Returns output (and/or errors), as well as relevant exit metadata
✅Agent recursively improves
Goodbye tedious devops and cobbled code.