Skip to content
View Lichas's full-sized avatar
🏠
Working from home
🏠
Working from home
  • Knowhere
  • 00:43 (UTC +08:00)

Block or report Lichas

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Lichas/README.md

Lua / Lichas

I build systems that are meant to run in the real world: reliable, efficient, observable, and worth maintaining.

My background is rooted in Go, backend engineering, observability, and production-grade infrastructure. Recently, I’ve been pushing hard into AI agents — not as toys, but as software systems.

That’s why I’m building maxclaw:

a local-first AI agent in Go, designed to be low-memory, private, UI-ready, and usable out of the box.

I’m especially interested in:

  • agent runtimes
  • local tool execution
  • memory and session architecture
  • developer-facing AI products
  • the intersection of AI, infra, and UX

I like software with strong bones:

  • clear architecture
  • boring reliability
  • fast feedback loops
  • minimal operational drama

If that sounds like your kind of engineering, take a look at maxclaw and say hi.

Pinned Loading

  1. trpc-group/trpc-go trpc-group/trpc-go Public

    A pluggable, high-performance RPC framework written in golang

    Go 1.1k 132

  2. maxclaw maxclaw Public

    OpenClaw-Style Local-First AI Agent in Go - Low-Memory, Private, UI-Ready, Out-of-the-Box

    Go 145 23