LibreFang is criminally underrated, why nobody talks about this?

Reddit r/AI_Agents Tools

Summary

The article discusses LibreFang, an agent OS written in Rust that features security layers, WASM sandbox, and autonomous 'Hands' teams, questioning why it remains underrated compared to Python-based frameworks.

Been trying all the agent frameworks. LangChain, CrewAI, AutoGen. All Python, all fragile, all breaking when you actually try to do something serious with them. Then I found LibreFang and I don't understand how this has less than 300 stars. It's not a framework, it's a full agent OS. Written in Rust from scratch. 137K lines. One binary. 180ms cold start, 40MB memory. 16 security layers, WASM sandbox, Merkle audit trails, taint tracking, Ed25519 signing. Show me one Python framework that has even half of this. What really got me is the "Hands" concept. Think of them like teams that do a job. Not chatbots waiting for your prompt. Actual autonomous teams that run on schedules. One researches your competitors at 6AM and drops the report in your Telegram. Another one clips your videos into shorts. Another generates leads daily. 14 built in, you can build your own with a HAND.toml + system prompt + SKILL.md. The full stack is crazy. 14 crates, 53 tools, 40 channel adapters, 140+ API endpoints, MCP, A2A protocol, P2P networking, Tauri desktop app. All. In. One. Binary. It's a community fork of OpenFang (which came from OpenClaw), with open governance and merge-first PR policy. Thousands of commits, issues being actively worked daily. Full disclosure, I've been contributing to the project and I also worked on other agents like ZeroFang. So yes I'm biased. But that also means I've seen the inside of several engines and I can tell you, the people building this are seriously good. Zero clippy warnings, 2100+ tests, clean architecture. These people care. Now, is it beta? Yes. Will it crash on you? Probably yes. Will things break between versions? For sure. But at the speed and quality these devs are shipping, production is not far. This is not a "maybe it gets there" project. The foundation is solid and the discipline is real. The agent space is full of Python wrappers that die when you push them. LibreFang is the only one I've seen that treats agents like an OS treats processes. Kernel, sandboxing, isolation, crypto identity, everything. Anyone running this? What's been your experience?
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