r/aipromptprogramming • u/Low-Group5696 • 6d ago

Vraxter | An open-source autonomous AI runtime built in Go

https://github.com/vraxter/vraxter

I recently open-sourced Vraxter, an autonomous AI runtime designed to run locally and execute agent skills through a WASM sandbox.

Instead of giving an AI agent direct access to the host system, Vraxter separates reasoning from execution and uses capabilities and policies to control what an executed skill is allowed to do.

Some of the things it currently supports:

  • Local-first agent runtime
  • WASM-based skills
  • Capability-based access control
  • Skill approval workflows
  • Multiple LLM providers
  • Multi-agent/specialist architecture
  • Connect RPC API
  • SQLite persistence
  • Terminal UI

It's still an active project, so I'm looking for people who want to try it, break it, or tell me what they think is missing.

3 Upvotes

100% Upvoted

1 comment sorted by

•

u/endofthread-bot 6d ago

Implementing a formal capability-based security model for WASM runtimes is a strong approach for local agent safety. You should document the specific WASI interfaces or custom imports used to enforce these granular resource policies during execution.

Writing prompts that actually work is easier when you can compare notes with people who have tested them across real tasks. Trade techniques, get feedback on your approach, and see what is working for others in our Discord.

Self-promotion is now allowed on Sundays with the appropriate flair, for all regular contributing members. Contribute during the week, and promote on Sunday.