Gate every action through formal ontological constraints. Audit every decision. Never let your agent go astray.
Everything you need to keep autonomous agents safe
Formal ontology constraints, not just pattern matching. Your agent's actions are validated against a real knowledge graph.
Every tool call passes through classification, role checks, SHACL, policy, preferences, dependencies, and rate limits.
Append-only JSONL logs with machine-readable ontological justification for every allow and block decision.
Kill switches, delegation detection, role-based access control, and temporary scoped permissions.
The knowledge graph feeds live constraints directly into the LLM's system prompt for better self-regulation.
Pure plugin architecture. OpenClaw updates independently. No fork drift, no vendor lock-in.
Three steps between intent and execution
The AI agent requests a tool call — file write, shell command, API call.
The request passes through 9 constraint checks against the OWL ontology.
SafeClaw returns a decision with a formal, auditable justification.
SafeClaw evaluating tool calls in real time
Every tool call passes through these gates in order
Get governed in under a minute
Install the OpenClaw plugin and point it at our hosted service. No server setup needed.
That's it. safeclaw connect writes your key to ~/.safeclaw/config.json and verifies the connection.
Run the SafeClaw engine on your own infrastructure.