by gastown-publish · Codex 技能 · ★ 12
Gasclaw Gastown + OpenClaw + KimiGas in one container. A single-container deployment that runs a Gastown multi-agent workspace, managed by an OpenClaw overseer bot on Telegram. All agents use Kimi K2.5 as their LLM backend through Claude Code's agentic interface. Prerequisites Docker Engine 24+ and Docker Compose v2 — Install Docker Quick Start What's Inside How It Works ┌──────────────── Docker Container ──────────────
| Stars | 12 |
| Forks | 5 |
| Language | Python |
| Category | Codex 技能 |
| License | MIT |
| Quality Score | 36.75/100 |
| Open Issues | 12 |
| Last Updated | 2026-04-22 |
| Created | 2026-03-02 |
| Platforms | claude-code, python |
| Est. Tokens | ~63k |
These tools work well together with gasclaw for enhanced workflows:
Explore other popular codex 技能 tools:
gasclaw is Single-container deployment: Gastown + OpenClaw + KimiGas — multi-agent AI workspace with Telegram overseer. It is categorized as a Codex 技能 with 12 GitHub stars.
gasclaw is primarily written in Python. It covers topics such as ai-agents, claude-code, gastown.
You can find installation instructions and usage details in the gasclaw GitHub repository at github.com/gastown-publish/gasclaw. The project has 12 stars and 5 forks, indicating an active community.
gasclaw is released under the MIT license, making it free to use and modify according to the license terms.