by NanoFlow-io · Agent Tool · ★ 83
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🦞 Clawdboss Pre-hardened, multi-agent OpenClaw setup by NanoFlow. One script to go from zero to a fully secured, multi-agent AI assistant on Discord — with prompt injection defense, security auditing, WAL Protocol for context persistence, and best practices baked in. What You Get Multi-agent architecture — Main agent + optional specialist agents (Comms, Research, Security) Security-first — Prompt injection defense, anti-loop rules, content tagging, credential isolation WAL Protocol — Write-Ahead Log for corrections, decisions, and details that survive context loss Working Buffer — Danger zone logging to survive context compaction without losing work Discord integration — Bot bound to your server with channel-per-agent routing Telegram integration — Chat via Telegram bot with DM and group support Web dashboard — ClawSuite Console with chat, file browser, terminal, cost analytics (optional) Env-based secrets — All API keys in , never in config files Automated security audits — Security agent runs scheduled hardening checks Knowledge graph — Graphthulhu for structured memory across agents (optional) API discovery — ApiTap intercepts web traffic to teach agents how APIs work...
| Stars | 83 |
| Forks | 14 |
| Language | Shell |
| Category | Agent Tool |
| Quality Score | 59.804/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-21 |
| Created | 2026-03-05 |
| Platforms | cli |
| Est. Tokens | ~12k |
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Clawdboss is 🦞 Pre-hardened, multi-agent OpenClaw setup. One script from zero to a fully secured AI assistant on Discord, Telegram, or both.. It is categorized as a Agent Tool with 83 GitHub stars.
Clawdboss is primarily written in Shell. It covers topics such as ai-agent, clawdboss, discord-bot.
You can find installation instructions and usage details in the Clawdboss GitHub repository at github.com/NanoFlow-io/Clawdboss. The project has 83 stars and 14 forks, indicating an active community.
The top alternatives to Clawdboss on Agent Skills Hub include mateclaw, OpenACP, openclaw.net. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.