OpenDerisk
by derisk-ai
AI-native risk intelligence and SRE for multi-agent deployments
Summary
Provides an AI-native risk intelligence manager that monitors and mitigates application and agent-driven risks around the clock. Combines multi-agent orchestration and SRE-style telemetry to detect anomalies, manage failure modes, and enforce risk policies across agent interactions. Distinctive features include continuous risk scoring and automated safeguards tailored for multi-agent deployments, leveraging the Orchestrator-Worker Pattern and the Hierarchical Multi-Agent Pattern.
Key Benefits
Ideal For
SRE and platform teams running production multi-agent systems that need continuous risk monitoring and automated mitigation. For teams adopting standard interaction and protocol practices, consider integrating with the Model Context Protocol (MCP) to standardize agent communications.
Real-World Examples
- Detecting and alerting on multi-agent system failures and anomalous agent behavior
- Applying continuous risk scoring to agent interactions before promotion to production
- Automating mitigation (circuit breakers, throttles, rollbacks) for unreliable agents