Built an open Agentic AI system in Rust with customizable agent loops (TigrimOSR)

I’ve been working on TigrimOSR, a native Rust desktop application for building and running multi-agent AI workflows.
Instead of hardcoding the orchestration logic, the entire agentic loop is configurable through YAML. You can customize:
Agent loop behavior
Available tools
MCP servers
Skills
Model selection
System prompts
Self-verification rules
Loop limits
The goal is to let developers experiment with different orchestration strategies without touching the Rust source code.
Some other features:
🦀 Native Rust (single binary)
💾 ~250–270 MB RAM during normal operation
🌐 Built-in Rust browser for web search (no external browser automation required)
🤖 Multi-agent collaboration
🔌 MCP support
📱 Desktop + remote access
⚡ Designed for long-running agent workflows with low memory usage
The project is aimed at people interested in Agentic AI, Loop Engineering, and self-hosted AI systems where the orchestration itself is configurable rather than hidden behind an API.
I’m especially interested in feedback on the architecture. If you’ve experimented with LangGraph, Claude Code, OpenAI Agents, OpenHands, or other orchestration frameworks, I’d love to hear how you think configurable agent loops should evolve.
Project website:
https://tigrimosr.github.io