Open-source observability and audit trail platform for AI agents. MCP-native, tamper-evident event logging, real-time dashboard.
#ai-safety
74 posts
Trust infrastructure for AI agents — constitution enforcement and cryptographic receipts. Python SDK.
Agentic Power of Attorney (APOA) | Authorization infrastructure for AI agents
Permanent guardrails for AI-coded apps
Open-source model inventory & governance. Discovers every model, rule, and pipeline across all your platforms as one immutable, agent-querya...
Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes....
Test, red-team, and deploy LLM applications with confidence. Multi-provider support (OpenAI, Anthropic, Gemini), MCP integration, self-play...
Stop AI agents from doing things you didn't ask for.
Deterministic guardrails for AI agents — the LLM proposes, your rules dispose. A sub-microsecond, JIT-compiled rule engine in Rust, with a v...
AI 应用合规网关 · 一行命令体检 AI 项目的「数据出境 / 硬编码密钥 / 个人信息暴露」(网安法·PIPL·等保2.0·数据出境·AI标识),并给出境内模型替代...
Approval workflows for AI agents
MCTS (Model Context Threat Scanner) is a local-first security scanner for MCP servers -- static and live tool discovery, multiple analyzers,...