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ai-safety

Coordinated Agent Swarm Testing — open-source framework that deploys 100 Claude AI agents in five specialized squads (Security, Logic, Robustness, Performance, Data Integrity) to systematically analyze codebases for bugs, security issues, and code quality problems. A research-backed substitute for human beta testing. Empirical results from the published paper: 100 agents analyzed a 12,500-line React/TypeScript application in 63 minutes, identified 687 unique findings, at a total cost of $7.97 — compared to $2,000-$20,000 for equivalent human beta testing. Available via npm (cast-swarm) and as an MCP server. Apache 2.0 licensed. Published preprint available.

Deliberate AI architecture — local-first tiered inference router with foreman oversight, deliberation gates, and cloud fallback. Built by Veteranet (DVBE) for privacy-preserving AI in homeless veteran services.

A skill for AI coding agents that scaffolds a safe, multi-model chatbot for Telegram or Discord. Supports Claude, GPT, Gemini, and OpenAI-compatible backends. Nine safety layers on by default. Named for R. Daneel Olivaw from Asimov.

Open standard for geometric multi-agent AI safety. One decorator. Five-layer defense. 27 C4 cognitive states. 16 AoC failure modes blocked. pip install c4-protocol. Apache 2.0.

Empirical validation of C4 geometric defense against 16 Agents of Chaos. 550 adversarial prompts. 4 defense systems. 96.7% block rate. LLM validation on GPT-4o-mini + Mistral 7B. MIT.

Production AI defense with 7-layer protection: mathematical constraints, object-capability access, distributed O2 consensus, SVETILO ethics. First open-source ThoughtVirus defense. BSL 1.1.

Pre-send verification for outbound agents — multi-axis guardian (deterministic + semantic) sitting in front of send(). Reference impl from Workloft Labs Note №05.

Open-source security monitoring and auditing tool for OpenClaw AI assistant installations