OpenBox
Transform AI agents from opaque "black boxes" into transparent, auditable, and compliant systems.
The Problem
AI agents take actions across tools, data, and systems, often without enough visibility, enforceable controls, or audit-grade evidence.
Teams struggle to answer critical questions:
- What did the agent do, end to end?
- Which data did it access or transmit?
- Which policies were evaluated, and what was the result?
- Who approved sensitive steps (and when)?
The Solution
OpenBox adds a trust layer alongside your workflow engine. Currently supports: Temporal, LangChain, LangGraph, CrewAI, Mastra, Deep Agents, CopilotKit, and n8n. Your workflow engine remains the system of record for execution, OpenBox adds trust and visibility.
Who This Is For
| Team / Role | How they use OpenBox | Business outcome |
|---|---|---|
| Security / Trust & Safety | Define policies and guardrails, review risky behavior, investigate incidents via Audit Log and Session Replay | Reduce security risk, shorten incident response time, enforce consistent controls |
| Engineering (Platform / AI Infra) | Integrate the SDK into workers, standardize instrumentation, set trust controls across many agents | Faster rollouts, fewer regressions, consistent enterprise-wide controls |
| Product (AI Product Owners) | Monitor agent reliability, iterate on controls as capabilities change, track approvals and exceptions | Ship AI features faster with clear safety boundaries and measurable reliability |
| Compliance / Audit | Export audit-ready evidence and attestations, review decision trails for audits and reviews | Lower audit friction, repeatable evidence collection, easier stakeholder sign-off |
| Operations (Support / Finance / IT) | Act as approvers for sensitive actions and escalations, verify changes and outcomes | Controlled execution for high-impact actions, fewer costly mistakes |
Key Capabilities
| Capability | Description |
|---|---|
| Trust Lifecycle | 5-phase trust loop: Assess → Authorize → Monitor → Verify → Adapt |
| Trust Scores | Dynamic 0-100 scores that evolve based on agent behavior |
| Human-in-the-Loop | Built-in approval workflows for sensitive operations |
| Behavioral Rules | Detect multi-step violations that stateless rules miss |
| Cryptographic Attestation | Tamper-proof evidence for auditors |
| Compliance Evidence | Audit trails and attestations for auditors |
| Agent Lineage | Connect repository changes, runtime DIDs, sessions, and governance snapshots |
Start Here
Getting Started
Set up your environment, run the demo, or wrap your existing agent.
Trust Lifecycle
Learn the 5 phases: Assess, Authorize, Monitor, Verify, and Adapt.
Explore the Platform
Dashboard
Trust overview, KPIs, and alerts for your organization.
Agents
Register agents, configure trust lifecycle phases, and monitor behavior.
Projects
Connect repositories and trace agents from code changes to governed runtime sessions.
Approvals
Human-in-the-loop approval queue for high-risk operations.
SDK
Minimal SDK integration — just wrap your workflow worker.
Compliance
Attestation and audit trails for auditors.