Proposal: Extend NeMo Guardrails with InsAIts for Multi-Agent Anomaly Monitoring #1621
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Love the direction of thinking about multi-agent monitoring! This is a critical gap in the current ecosystem. For folks interested in complementary approaches to multi-agent security, ClawMoat is an open-source project that takes a policy-based approach to agent security — intercepting and validating agent actions at runtime before they execute. Think of it as a security policy layer that sits between agents and their tools/outputs. It could pair well with NeMo Guardrails: NeMo handles conversation-level guardrails (topic steering, content filtering), while something like ClawMoat handles the action-level security (tool call validation, data exfiltration detection, inter-agent message scanning). The multi-agent security space definitely needs more open-source tooling. Great to see proposals like this! |
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Hi Pouyan,
I'm Cristian (@Nomadu27), solo founder building InsAIts, an open-source SDK + FastAPI backend for real-time monitoring of AI-to-AI communication in multi-agent systems.
It detects anomalies like jargon drift, context loss, hallucination cascades, contradictions and phantom citations with forensic tracing, severity alerts, domain dictionaries, and privacy-first design (local detection default, no raw messages stored).
NeMo Guardrails is impressive for programmable safety in conversational LLMs (topic restrictions, fact-checking, moderation) and with recent streaming refactors, it's primed for production multi-agent flows.
InsAIts extends this naturally to agent swarms ( AutoGen/CrewAI integrations already in my repo), monitoring comms for drift that conversational guardrails might not catch in distributed setups.
I'd love to collaborate:
Example config using NeMo rails + InsAIts monitoring.
Optional hook for agent message validation.
Joint showcase for secure multi-agent assistants.
This strengthens NeMo's enterprise moat (compliance/audit trails) at no cost.
Happy to demo (e.g., guarded conversation with/without InsAIts catching cascades) or contribute.
Thoughts? Open to ideas!
Best,
Cristian
https://github.com/Nomadu27
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