Original Reddit post

Hi all, I’m building an open-source AI agent harness built for security and zero-trust. It runs on Linux and Windows, using Firecracker and Hyper-V as the isolation mechanism respectively. The harness is built on the following principles:

  • Secure by design. Agents are isolated with real hardware virtualization, not just a container (Hyper-V on Windows, Firecracker/KVM on Linux)
  • Zero-trust. Pipelock keeps secrets like API keys and credit-card numbers out of an agent’s reach. An egress proxy controls exactly which systems it can talk to.
  • Build anything. Maturana is built on and for Codex. Everything is developed as a skill, from agent creation to tools and skills and everything is done via prompts inside Codex. However, Codex is not strictly required - you can use the CLI directly. Maturana also has a nice TUI and web interface for managing agents.
  • Self-evolving. An internal WASM engine lets agents build their own tools on the fly, safely sandboxed.
  • Shared knowledge. Maturana comes with a built-in knowledge graph, which agents use instead of markdown files.
  • Lean and fast. Maturana is built in Rust with a modular core from the start. Skills are extensions to that core, running in Codex/Codex CLI. Agents running inside the VMs currently support Claude Code, Codex CLI, and OpenCode. My plan is to add support for other harnesses and self-hosted models over time. You don’t need Codex for running Maturana, however. I’m still early in the build and would really value feedback from people building or using agents with the purpose of making it more usable and secure. I know there are quite a few harness projects out there at the moment. NanoClaw has tried to solve the security question with Docker, but I haven’t been entirely happy with the security model and tie-in with Claude. Hence this project. If anyone is interested in testing, contributing, or just sanity-checking the architecture, I’d love to connect. I would also value perspectives on how to improve the security posture. The source code can be found here: https://github.com/ajensenwaud/maturana Best, Anders submitted by /u/hesteheste

Originally posted by u/hesteheste on r/ArtificialInteligence