Hey Rust Community,

Running AI agents on edge devices and production systems raises a different class of problems: safety, modularity, performance, and control.

So I built AutoAgents: a Rust-native agent runtime focused on safety, modularity, and production-grade performance — designed to run on both edge (Raspberry Pi) and cloud without turning into a security nightmare.

Why this matters:

• Most agent stacks are Python-first and brittle at scale.
• AutoAgents is systems-first: memory-safe Rust, modular tool integrations, and an execution layer designed for real workloads.
• It’s built so your agent can actually be deployed — not just demoed.

What you can do in 10 minutes:

1. Clone the repo.
2. Try the lightweight edge example.
3. See an agent call a tool, sandboxed, with telemetry.

If you like systems work, edge AI, or secure LLM tooling — please give the repo a star and share.

Repo: https://github.com/liquidos-ai/AutoAgents
Site: https://liquidos.ai

Looking forward to see you guys build production ready Agents.

1 post - 1 participant

Read full topic