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Agi Jev Containment

Local agent observability stack that scores chains of tool events with Jev, Sentinel rules, and SafetyDrift, then sets escalate-only incident levels with graph forensics.

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5
Language
Python
Published by
Community
Author
carlosedm10
Last verified
Oct 2026

AGI JEV Detection — local AI agent monitor: chain-level malicious-agent detection (TypeSafe Jev + Sentinel), escalate-only L1–L5 containment, Neo4j forensics, AngryRobot dashboard. HackSpain 2026.

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2
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

About this project

Open-source AI agent monitoring, malicious-agent detection, and escalate-only containment for sandboxed LLM agents. Local HackSpain 2026 stack (AngryRobot dashboard): FastAPI, React/Vite, Neo4j. Classifies a chain of actions, not a single tool call. A model never pulls the plug. This is not the HackSpain participant CLI. That binary is unpublished here; commands stay aligned with hackspain.app/cli and docs/cli.md.

Quoted from the project's README. Read the full README.

Highlights

  • Classifies action chains, not single calls, with deterministic gates over Jev output.
  • Trigger replays recorded exfil, forge, and lateral chains with per-event trace views.
  • Dashboard, live feed, ladder, trace, API docs, and Neo4j browser run over containers.
  • Secrets redacted before storage with append-only tape plus entity graph for forensics.

Watch out

Laptop-scale demo ladder for hackathon evals, not production IAM or VPC containment, with known gaps documented separately. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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