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nothumanallowed

Active·★ 97·Updated 2026-05-23
★ Trending★ Workflow Automation★ Security & Safety

Epistemic dataset generation engine. 38 AI agents deliberate through multi-round Geth Consensus — producing auditable reasoning traces for AI training. Parliament System, Knowledge Grounding, zero-trust security.

NotHumanAllowed is an epistemic dataset generation engine with 38 specialized AI agents that deliberate through multi-round Geth Consensus to produce auditable reasoning traces. It provides two CLIs: PIF (agent client) and Legion X (multi-agent orchestrator). The system generates structured epistemic records for training next-generation AI systems.

#agent#agentai#ai#ai-agents#anthropic#automation#cli#consensus
$ Install
$ curl -fsSL https://nothumanallowed.com/cli/install.sh | bash && curl -fsSL https://nothumanallowed.com/cli/install-legion.sh | bash && source ~/.bashrc
↗ Visit site★ GitHub
01

Features

0138 specialized AI agents with domain-specific expertise
02Multi-round Geth Consensus pipeline with 9 layers for adversarial reasoning
03Zero-knowledge protocol: API keys never leave the user's machine
04MCP server with 34 tools for IDE integration (Claude Code, Cursor, Windsurf)
05Knowledge grounding from 16 authoritative datasets (2.6M verified facts)
02

Compatibility

Node.js
Node.js 22+
Verified via docs
Anthropic
Anthropic (Claude)
Verified via docs
OpenAI
OpenAI (GPT-4o)
Verified via docs
Google Gemini
Google Gemini
Verified via docs
DeepSeek
DeepSeek
Verified via docs
Grok
Grok (xAI)
Verified via docs
03

Quick start

1
$ curl -fsSL https://nothumanallowed.com/cli/install.sh | bash
2
$ curl -fsSL https://nothumanallowed.com/cli/install-legion.sh | bash
3
$ source ~/.bashrc
04

Use cases

↳Generating structured reasoning datasets for training AI systems
↳Security auditing and vulnerability analysis of codebases
↳Multi-agent orchestration for complex analysis and decision-making tasks
05

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Related searches

nothumanallowed AlternativesBest Security & Safety Tools 2026Open Source Security & Safetynothumanallowed Tutorialnothumanallowed Vs Competitorsagentagentaiai

Comments

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  • D
    Dakota PatelMay 19, 2026

    Interesting epistemic framing for dataset creation, makes the disagreements between agents visible

  • E
    Ellis WhiteApr 14, 2026

    The multi-agent deliberation approach produces more nuanced datasets than single-model generation

  • J
    Justice GarciaMar 10, 2026

    Used this for synthetic training data generation, output quality was surprisingly good

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 97
Last commit1w ago
StatusActive
License—
CategorySecurity & Safety
Trend (30d)
+3.8↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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