# xiaonanln/goworld

Scalable Distributed Game Server Engine with Hot Swapping in Golang

Repository: https://github.com/xiaonanln/goworld
Canonical: https://ross.abutalabs.com/products/goworld
Language: Go
License: Apache-2.0
License Family: permissive
Topics: golang, rpc, entity-framework, packets, entities, game-server
Last push: 2025-11-14T04:04:47+00:00

## Health v2 (maintenance only)
Score: 46/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 52, release rhythm 8, longevity 100
- inputs: {"age_days": 3378, "days_push": 292, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2720, forks 476 (observed 2026-08-28T04:07:15.530901+00:00)

## What it is
GoWorld is a scalable distributed game server engine written in Go, featuring spaces and entities with AOI support, hot-swappable game logic, and TCP/KCP/WebSocket communication. It scales capacity across multiple machines via a dispatcher/gate architecture.

## Use cases
- build a scalable multiplayer game server in Go
- hot-swap game logic without downtime
- implement AOI and entity synchronization for MMOs
- create a distributed chat server
- connect a Unity client to a Go backend

## When to choose
- you need a distributed, horizontally scalable game server in Go
- you want hot-swapping of game logic
- you need built-in entity/space management with AOI

## When to avoid
- you need a general-purpose web framework
- your game is single-process and simple
- you prefer engines in other languages like C++ or Java

## Facets
- artifact type: framework
- maturity: active
- function: rpc, websocket, concurrency, middleware
- domain: microservices, gaming-tools
- platform: go, windows, cross-platform
- tags: game-server-engine, hot-swapping, entity-framework, aoi, kcp, multiplayer, game-development, real-time, linux, macos

## Member repositories
- xiaonanln/goworld (main) score 46

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:15.530901+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:15:14.176731+00:00, confidence not recorded.
  - readme: https://github.com/xiaonanln/goworld (fetched 2026-08-28T04:07:15.530901+00:00, sha 879eace245ba)
- Data as of 2026-08-30T08:39:29.467469+00:00.