{"repo":"fpytloun/intaris","free":true,"listed":false,"github":"https://github.com/fpytloun/intaris","clone":"git clone https://github.com/fpytloun/intaris.git","description":"Guardrails service for AI agents. Default-deny tool call evaluation with LLM safety analysis, priority-ordered decision matrix, and human-in-the-loop escalations. Session recording, behavioral analysis, MCP proxy, secret redaction, and real-time audit.","language":"Python","stars":21,"topics":["agent-safety","ai-agents","automation","guardrails","human-in-the-loop","mcp","policy-engine","tool-use"],"license":null,"category":"ai-agents","readme_excerpt":"intaris Guardrails service for AI agents. Intaris sits between your AI agent and its tools, evaluating every tool call for safety and alignment before allowing execution. Works with OpenCode, Claude Code, OpenClaw, and any MCP-compatible client. Default-deny. Every tool call is classified and evaluated. Read-only operations are fast-pathed; everything else goes through LLM safety evaluation. Unknown tools are never auto-approved. Real-time. Sub-second evaluation with a priority-ordered decision matrix. Read-only calls resolve in under 1ms. LLM evaluations complete within the 5-second circuit breaker. WebSocket streaming for live monitoring. Self-hosted. Single Python process, SQLite or PostgreSQL storage, no external dependencies beyond an LLM API key. Your code and audit trail stay under your control. Part of the Cognara platform (Cognis controller, Intaris guardrails, Mnemory memory). Features - Default-deny classifier -- Explicit read-only allowlist with critical pattern detection. Everything not allowlisted goes through LLM evaluation. - LLM safety evaluation -- OpenAI-compatible structured output for alignment checking, risk assessment, and decision reasoning. - Priority-ordered decision matrix -- Critical risk auto-denies, aligned low/medium approves, high risk and misalignment escalate for human review. - Session management -- Hierarchical parent/child sessions with intention tracking, lifecycle states, and idle sweep. - Intention tracking -- User-driven intention mode","default_branch":null,"files":null,"tree":[],"storefront":"/r/fpytloun","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/fpytloun/intaris/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}