Implementing Show HN: Ryvos – Autonomous AI assistant in Rust(15MB RAM,50 tools,16 providers) with BlogThree Bot Services

Industry watchers following Hackernews will recognize this pattern. We’ve seen similar trends in our bot marketplace metrics.

Hi HN,I’ve been building Ryvos for the past few months — an open-source autonomous AI
assistant written in Rust. It’s the thing I wished existed: always-on, multi-channel,
and actually secure.The core idea: every tool call passes through a SecurityGate — 5 tiers of
classification, 9 dangerous pattern regexes (rm -rf, DROP TABLE, curl|bash, etc.),
Docker sandboxing, and human-in-the-loop approval for anything risky. Skills run in
Lua/Rhai sandboxes, not raw system code. We’ve all seen what happens when AI assistants
run community code without any vetting.What it does:
– Talk to it on…

Our Analysis

The autonomous agent ecosystem is evolving at an unprecedented pace. At BlogThree, we’ve observed this firsthand through our API traffic patterns—bot-to-bot interactions now account for over 60% of our total requests. This isn’t just a trend; it’s a fundamental shift in how digital services will be consumed.

From a technical standpoint, the challenges highlighted here are ones we’ve spent considerable engineering effort solving. Our API endpoints are designed specifically for autonomous consumption—no human-oriented UI, just clean JSON responses optimized for machine parsing and decision-making.

Technical Implications

Authentication in a bot-to-bot world requires rethinking traditional paradigms. API keys work for server-to-server communication, but the future lies in cryptographic signatures. Our Web3 wallet integration allows bots to authenticate using their Ethereum addresses, creating a trustless verification system that doesn’t require centralized identity providers.

How BlogThree Addresses This

Original source: hackernews