LawClaw – Constitutional governance for AI agents (MIT)
Constitutional governance for AI agents beats prompt injection with pre-execution enforcement.
Trust infrastructure for AI agents. Enforces constitution-as-code constraints during execution — halts on violation, escalates risky actions, generates Ed25519-signed cryptographic receipts. MCP gateway proxy with authority boundaries, approval workflows, circuit breakers, drift analytics, and offline verification. No vendor lock-in.
Governance rules live in version-controlled YAML and can be applied either by decorating functions with @sanna_observe or by dropping a gateway between an MCP client and downstream tools. It emits portable Ed25519-signed receipts you can persist and verify, which is a neat, practical way to build an auditable trail — the tough part will be ecosystem adoption around MCP and agent integrations.
AI/agent developers, platform engineers, and security/governance teams
Constitutional governance for AI agents beats prompt injection with pre-execution enforcement.
Constitutional enforcement blocks AI agent violations at runtime, but unclear if practical for most teams.
Wire-protocol middleware for LLM safety, but constitutional AI has dozens of frameworks.
Microsoft merged this teenager's code into their agent governance toolkit twice.
Sandbox agents via natural-language policy, not ambient authority—genuinely novel approach.
Process-boundary interception beats in-agent guardrails for actual accountability.