We built Fleeks because the biggest bottleneck for AI agents isn't reasoning—it's infrastructure.
Most agents (whether in an IDE like Cursor/Claude Code or a custom autonomous swarm) are stuck in a "sandbox." They can write code, but they can't easily execute, verify, or integrate it with the outside world without heavy manual intervention.
Fleeks is a purpose-built substrate that gives agents a persistent, production-ready runtime:
The Execution Bridge: Instead of just generating code, agents use the Fleeks CLI or SDK to spin up ephemeral environments. This allows them to verify their own work in a live environment and return a real URL or status to their context window.
Native Tooling (MCP): We’ve integrated 270+ Model Context Protocol (MCP) tools directly into the substrate. This removes the configuration tax of managing local JSON files and tool-servers, turning these integrations into a unified cloud capability.
Beyond the IDE: While it’s designed to supercharge IDE-based agents, our SDK (TS/Python/Go) allows engineers to build autonomous systems that provision and manage their own infrastructure on the fly.
We want to move agents from "code generators" to "systems engineers." We’d love your feedback on the architecture and how you're handling the gap between agent reasoning and system execution.