Problem solved

Autonomous agents can execute arbitrary commands, file writes, and network calls, and traditional prompt guardrails or userspace logs are insufficient to prevent malicious or unintended actions. Reality Kernel provides deterministic, execution-layer enforcement by simulating each system call against the agent's declared intent and returning cryptographically signed verdicts before execution, creating a tamper-evident audit trail.

Use cases

• Block shell commands that diverge from an agent's declared goal
• Prevent external prompt injection from escalating into tool calls
• Create tamper-evident audit logs of every agent action attempt
• Enable human approval for WARN-level actions via override endpoint
• Secure multi-step agent workflows against chained malicious outcomes
• Integrate with LangChain, AutoGen, CrewAI, or custom executors

Audience

• Developers
• ML Engineers
• Enterprise
• Startups
• Researchers

Pros

• Sub-millisecond verdicts (p50 0.31ms, p99 1.2ms)
• Cryptographic audit trail with Ed25519 signatures and SHA-256 proof chain
• Execution-layer enforcement not bypassable by prompt injection
• Framework-agnostic SDKs and REST API
• Free developer tier with 500 credits

Cons

• Private beta with limited availability
• Requires integrating check() into agent executor
• Cloud service may not suit air-gapped environments
• No self-hosted option mentioned
• Pricing for higher tiers may be costly for small teams